際際滷shows by User: roelofp / http://www.slideshare.net/images/logo.gif 際際滷shows by User: roelofp / Thu, 10 Oct 2019 16:26:34 GMT 際際滷Share feed for 際際滷shows by User: roelofp Speculations in anthropology and tech for an uncertain future /slideshow/speculations-in-anthropology-and-tech-for-an-uncertain-future/180730895 speculationsbristolv5forpdfgoodq-191010162634
We live in uncertain times. Never before has a species had such a devastating impact on Earth. First through potential nuclear armageddon, now through human-made climate breakdown. Similarly, many innovations and technologies have made us more connected than ever, but we are equally more separate and disconnected. Finally, not only our natural climate but equally so our political and scientific climate are on fire. What to do? It is exactly in these uncertain times, changing times, that we might dare to dream collectively, together, on how we might move beyond the current mess we have found ourselves in. It is time to stage the revolution and commit ourselves to a more equitable world that respects planetary boundaries, embraces biodiversity, energy, water, wellbeing, society, and culture. In this talk I will look at the role that technology plays, and could play in, making such dreams a reality, and how new tools and paradigms developed under the moniker of the makers movement and maker spaces, open-source and low tech have the potential to remake the shaky ground (physical, conceptual dare I say ontological) on which we stand. Can technology, AI, the internet, open-source software and hardware really be of much help here? And why are anthropologists and engineers uniquely positioned to help? Lets find out! https://www.anthtechconf.co.uk/keynote/roelof-pieters ]]>

We live in uncertain times. Never before has a species had such a devastating impact on Earth. First through potential nuclear armageddon, now through human-made climate breakdown. Similarly, many innovations and technologies have made us more connected than ever, but we are equally more separate and disconnected. Finally, not only our natural climate but equally so our political and scientific climate are on fire. What to do? It is exactly in these uncertain times, changing times, that we might dare to dream collectively, together, on how we might move beyond the current mess we have found ourselves in. It is time to stage the revolution and commit ourselves to a more equitable world that respects planetary boundaries, embraces biodiversity, energy, water, wellbeing, society, and culture. In this talk I will look at the role that technology plays, and could play in, making such dreams a reality, and how new tools and paradigms developed under the moniker of the makers movement and maker spaces, open-source and low tech have the potential to remake the shaky ground (physical, conceptual dare I say ontological) on which we stand. Can technology, AI, the internet, open-source software and hardware really be of much help here? And why are anthropologists and engineers uniquely positioned to help? Lets find out! https://www.anthtechconf.co.uk/keynote/roelof-pieters ]]>
Thu, 10 Oct 2019 16:26:34 GMT /slideshow/speculations-in-anthropology-and-tech-for-an-uncertain-future/180730895 roelofp@slideshare.net(roelofp) Speculations in anthropology and tech for an uncertain future roelofp We live in uncertain times. Never before has a species had such a devastating impact on Earth. First through potential nuclear armageddon, now through human-made climate breakdown. Similarly, many innovations and technologies have made us more connected than ever, but we are equally more separate and disconnected. Finally, not only our natural climate but equally so our political and scientific climate are on fire. What to do? It is exactly in these uncertain times, changing times, that we might dare to dream collectively, together, on how we might move beyond the current mess we have found ourselves in. It is time to stage the revolution and commit ourselves to a more equitable world that respects planetary boundaries, embraces biodiversity, energy, water, wellbeing, society, and culture. In this talk I will look at the role that technology plays, and could play in, making such dreams a reality, and how new tools and paradigms developed under the moniker of the makers movement and maker spaces, open-source and low tech have the potential to remake the shaky ground (physical, conceptual dare I say ontological) on which we stand. Can technology, AI, the internet, open-source software and hardware really be of much help here? And why are anthropologists and engineers uniquely positioned to help? Lets find out! https://www.anthtechconf.co.uk/keynote/roelof-pieters <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/speculationsbristolv5forpdfgoodq-191010162634-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We live in uncertain times. Never before has a species had such a devastating impact on Earth. First through potential nuclear armageddon, now through human-made climate breakdown. Similarly, many innovations and technologies have made us more connected than ever, but we are equally more separate and disconnected. Finally, not only our natural climate but equally so our political and scientific climate are on fire. What to do? It is exactly in these uncertain times, changing times, that we might dare to dream collectively, together, on how we might move beyond the current mess we have found ourselves in. It is time to stage the revolution and commit ourselves to a more equitable world that respects planetary boundaries, embraces biodiversity, energy, water, wellbeing, society, and culture. In this talk I will look at the role that technology plays, and could play in, making such dreams a reality, and how new tools and paradigms developed under the moniker of the makers movement and maker spaces, open-source and low tech have the potential to remake the shaky ground (physical, conceptual dare I say ontological) on which we stand. Can technology, AI, the internet, open-source software and hardware really be of much help here? And why are anthropologists and engineers uniquely positioned to help? Lets find out! https://www.anthtechconf.co.uk/keynote/roelof-pieters
Speculations in anthropology and tech for an uncertain future from Roelof Pieters
]]>
552 1 https://cdn.slidesharecdn.com/ss_thumbnails/speculationsbristolv5forpdfgoodq-191010162634-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
AI assisted creativity /slideshow/ai-assisted-creativity/78705701 cai-pydata-berlin-170809170938
talk at pydata Berlin]]>

talk at pydata Berlin]]>
Wed, 09 Aug 2017 17:09:38 GMT /slideshow/ai-assisted-creativity/78705701 roelofp@slideshare.net(roelofp) AI assisted creativity roelofp talk at pydata Berlin <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cai-pydata-berlin-170809170938-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> talk at pydata Berlin
AI assisted creativity from Roelof Pieters
]]>
1273 5 https://cdn.slidesharecdn.com/ss_thumbnails/cai-pydata-berlin-170809170938-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Creativity and AI: Deep Neural Nets "Going Wild" /slideshow/creativity-and-ai-deep-neural-nets-going-wild/74737868 pydata17adamplayingann-170408184553
Talk at PyData Amsterdam 2017 (8 April)]]>

Talk at PyData Amsterdam 2017 (8 April)]]>
Sat, 08 Apr 2017 18:45:53 GMT /slideshow/creativity-and-ai-deep-neural-nets-going-wild/74737868 roelofp@slideshare.net(roelofp) Creativity and AI: Deep Neural Nets "Going Wild" roelofp Talk at PyData Amsterdam 2017 (8 April) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pydata17adamplayingann-170408184553-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk at PyData Amsterdam 2017 (8 April)
Creativity and AI: Deep Neural Nets "Going Wild" from Roelof Pieters
]]>
2361 9 https://cdn.slidesharecdn.com/ss_thumbnails/pydata17adamplayingann-170408184553-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Deep Neural Networks that talk (Back) with style /slideshow/deep-neural-networks-that-talk-back-with-style/64285745 nuclainntalking-160722143245
Talk at Nuclai 2016 in Vienna Can neural networks sing, dance, remix and rhyme? And most importantly, can they talk back? This talk will introduce Deep Neural Nets with textual and auditory understanding and some of the recent breakthroughs made in these fields. It will then show some of the exciting possibilities these technologies hold for "creative" use and explorations of human-machine interaction, where the main theorem is "augmentation, not automation". http://events.nucl.ai/track/cognitive/#deep-neural-networks-that-talk-back-with-style]]>

Talk at Nuclai 2016 in Vienna Can neural networks sing, dance, remix and rhyme? And most importantly, can they talk back? This talk will introduce Deep Neural Nets with textual and auditory understanding and some of the recent breakthroughs made in these fields. It will then show some of the exciting possibilities these technologies hold for "creative" use and explorations of human-machine interaction, where the main theorem is "augmentation, not automation". http://events.nucl.ai/track/cognitive/#deep-neural-networks-that-talk-back-with-style]]>
Fri, 22 Jul 2016 14:32:45 GMT /slideshow/deep-neural-networks-that-talk-back-with-style/64285745 roelofp@slideshare.net(roelofp) Deep Neural Networks that talk (Back) with style roelofp Talk at Nuclai 2016 in Vienna Can neural networks sing, dance, remix and rhyme? And most importantly, can they talk back? This talk will introduce Deep Neural Nets with textual and auditory understanding and some of the recent breakthroughs made in these fields. It will then show some of the exciting possibilities these technologies hold for "creative" use and explorations of human-machine interaction, where the main theorem is "augmentation, not automation". http://events.nucl.ai/track/cognitive/#deep-neural-networks-that-talk-back-with-style <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nuclainntalking-160722143245-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk at Nuclai 2016 in Vienna Can neural networks sing, dance, remix and rhyme? And most importantly, can they talk back? This talk will introduce Deep Neural Nets with textual and auditory understanding and some of the recent breakthroughs made in these fields. It will then show some of the exciting possibilities these technologies hold for &quot;creative&quot; use and explorations of human-machine interaction, where the main theorem is &quot;augmentation, not automation&quot;. http://events.nucl.ai/track/cognitive/#deep-neural-networks-that-talk-back-with-style
Deep Neural Networks that talk (Back) with style from Roelof Pieters
]]>
2383 6 https://cdn.slidesharecdn.com/ss_thumbnails/nuclainntalking-160722143245-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Building a Deep Learning (Dream) Machine /slideshow/building-a-deep-learning-dream-machine/63499405 dlgpu-160627202126
Building a Deep Learning (Dream) Machine: DIY hardware hacking for the uninitiated. Talk given at Data Science London Meetup. 27 June 2016]]>

Building a Deep Learning (Dream) Machine: DIY hardware hacking for the uninitiated. Talk given at Data Science London Meetup. 27 June 2016]]>
Mon, 27 Jun 2016 20:21:26 GMT /slideshow/building-a-deep-learning-dream-machine/63499405 roelofp@slideshare.net(roelofp) Building a Deep Learning (Dream) Machine roelofp Building a Deep Learning (Dream) Machine: DIY hardware hacking for the uninitiated. Talk given at Data Science London Meetup. 27 June 2016 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dlgpu-160627202126-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Building a Deep Learning (Dream) Machine: DIY hardware hacking for the uninitiated. Talk given at Data Science London Meetup. 27 June 2016
Building a Deep Learning (Dream) Machine from Roelof Pieters
]]>
2902 7 https://cdn.slidesharecdn.com/ss_thumbnails/dlgpu-160627202126-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Multi-modal embeddings: from discriminative to generative models and creative ai /slideshow/multimodal-embeddings-from-discriminative-to-generative-models-and-creative-ai/61636837 cvaplecture2multi-modalembeddings-fromdiscriminativetogenerativemodelsandcreativeai-160503182453
Guest lecture #2 at DD2427 Image Based Recognition and Classification, KTH, Stockholm, 2 May 2016]]>

Guest lecture #2 at DD2427 Image Based Recognition and Classification, KTH, Stockholm, 2 May 2016]]>
Tue, 03 May 2016 18:24:52 GMT /slideshow/multimodal-embeddings-from-discriminative-to-generative-models-and-creative-ai/61636837 roelofp@slideshare.net(roelofp) Multi-modal embeddings: from discriminative to generative models and creative ai roelofp Guest lecture #2 at DD2427 Image Based Recognition and Classification, KTH, Stockholm, 2 May 2016 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cvaplecture2multi-modalembeddings-fromdiscriminativetogenerativemodelsandcreativeai-160503182453-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Guest lecture #2 at DD2427 Image Based Recognition and Classification, KTH, Stockholm, 2 May 2016
Multi-modal embeddings: from discriminative to generative models and creative ai from Roelof Pieters
]]>
2341 7 https://cdn.slidesharecdn.com/ss_thumbnails/cvaplecture2multi-modalembeddings-fromdiscriminativetogenerativemodelsandcreativeai-160503182453-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Deep learning for natural language embeddings /slideshow/deep-learning-for-natural-language-embeddings/61636737 cvaplecture1deeplearningfornaturallanguageembeddings-160503182211
Guest lecture #1 at DD2427 Image Based Recognition and Classification, KTH, Stockholm, 2 May 2016]]>

Guest lecture #1 at DD2427 Image Based Recognition and Classification, KTH, Stockholm, 2 May 2016]]>
Tue, 03 May 2016 18:22:11 GMT /slideshow/deep-learning-for-natural-language-embeddings/61636737 roelofp@slideshare.net(roelofp) Deep learning for natural language embeddings roelofp Guest lecture #1 at DD2427 Image Based Recognition and Classification, KTH, Stockholm, 2 May 2016 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cvaplecture1deeplearningfornaturallanguageembeddings-160503182211-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Guest lecture #1 at DD2427 Image Based Recognition and Classification, KTH, Stockholm, 2 May 2016
Deep learning for natural language embeddings from Roelof Pieters
]]>
1870 9 https://cdn.slidesharecdn.com/ss_thumbnails/cvaplecture1deeplearningfornaturallanguageembeddings-160503182211-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Multi modal retrieval and generation with deep distributed models /slideshow/multi-modal-retrieval-and-generation-with-deep-distributed-models/61636356 multi-modalretrievalandgenerationwithdeepdistributedmodels-160503181152
Guest Lecture at DD2476 Search engines and Information retrieval systems (KTH, Stockholm 26 April 2016)]]>

Guest Lecture at DD2476 Search engines and Information retrieval systems (KTH, Stockholm 26 April 2016)]]>
Tue, 03 May 2016 18:11:52 GMT /slideshow/multi-modal-retrieval-and-generation-with-deep-distributed-models/61636356 roelofp@slideshare.net(roelofp) Multi modal retrieval and generation with deep distributed models roelofp Guest Lecture at DD2476 Search engines and Information retrieval systems (KTH, Stockholm 26 April 2016) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/multi-modalretrievalandgenerationwithdeepdistributedmodels-160503181152-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Guest Lecture at DD2476 Search engines and Information retrieval systems (KTH, Stockholm 26 April 2016)
Multi modal retrieval and generation with deep distributed models from Roelof Pieters
]]>
1620 7 https://cdn.slidesharecdn.com/ss_thumbnails/multi-modalretrievalandgenerationwithdeepdistributedmodels-160503181152-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Deep Learning for Natural Language Processing: Word Embeddings /slideshow/deep-learning-for-natural-language-processing-word-embeddings/55782922 nlpguestlect15-151203142113-lva1-app6891
Guest Lecture on NLP & Deep Learning (Word Embeddings) at the course Language technology at KTH, Stockholm, 3 December 2015]]>

Guest Lecture on NLP & Deep Learning (Word Embeddings) at the course Language technology at KTH, Stockholm, 3 December 2015]]>
Thu, 03 Dec 2015 14:21:13 GMT /slideshow/deep-learning-for-natural-language-processing-word-embeddings/55782922 roelofp@slideshare.net(roelofp) Deep Learning for Natural Language Processing: Word Embeddings roelofp Guest Lecture on NLP & Deep Learning (Word Embeddings) at the course Language technology at KTH, Stockholm, 3 December 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nlpguestlect15-151203142113-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Guest Lecture on NLP &amp; Deep Learning (Word Embeddings) at the course Language technology at KTH, Stockholm, 3 December 2015
Deep Learning for Natural Language Processing: Word Embeddings from Roelof Pieters
]]>
9993 17 https://cdn.slidesharecdn.com/ss_thumbnails/nlpguestlect15-151203142113-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Creative AI & multimodality: looking ahead /slideshow/creative-ai-multimodality-looking-ahead/55782774 creativeai-151203141728-lva1-app6892
Lecture on Creative AI (Generative Deep Learning) at Imperial College London, 1 December 2015]]>

Lecture on Creative AI (Generative Deep Learning) at Imperial College London, 1 December 2015]]>
Thu, 03 Dec 2015 14:17:28 GMT /slideshow/creative-ai-multimodality-looking-ahead/55782774 roelofp@slideshare.net(roelofp) Creative AI & multimodality: looking ahead roelofp Lecture on Creative AI (Generative Deep Learning) at Imperial College London, 1 December 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/creativeai-151203141728-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Lecture on Creative AI (Generative Deep Learning) at Imperial College London, 1 December 2015
Creative AI & multimodality: looking ahead from Roelof Pieters
]]>
3036 7 https://cdn.slidesharecdn.com/ss_thumbnails/creativeai-151203141728-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Python for Image Understanding: Deep Learning with Convolutional Neural Nets /slideshow/python-for-image-understanding-deep-learning-with-convolutional-neural-nets/49654913 pydata15nlpcvsinglemodelwideforpdf-150621143923-lva1-app6892
Talk given at PyData 2015 London. June 21, 2015. Practical approach to how to train your deep neural net for images.]]>

Talk given at PyData 2015 London. June 21, 2015. Practical approach to how to train your deep neural net for images.]]>
Sun, 21 Jun 2015 14:39:23 GMT /slideshow/python-for-image-understanding-deep-learning-with-convolutional-neural-nets/49654913 roelofp@slideshare.net(roelofp) Python for Image Understanding: Deep Learning with Convolutional Neural Nets roelofp Talk given at PyData 2015 London. June 21, 2015. Practical approach to how to train your deep neural net for images. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pydata15nlpcvsinglemodelwideforpdf-150621143923-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk given at PyData 2015 London. June 21, 2015. Practical approach to how to train your deep neural net for images.
Python for Image Understanding: Deep Learning with Convolutional Neural Nets from Roelof Pieters
]]>
90660 32 https://cdn.slidesharecdn.com/ss_thumbnails/pydata15nlpcvsinglemodelwideforpdf-150621143923-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Explore Data: Data Science + Visualization /slideshow/explore-data-data-science-visualization/49367351 datavis-150614104543-lva1-app6891
Talk on Data Visualization for Data Scientist at Stockholm NLP Meetup June 2015: http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/222609869/ Video recording at https://www.youtube.com/watch?v=3Li_xIQ1K84]]>

Talk on Data Visualization for Data Scientist at Stockholm NLP Meetup June 2015: http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/222609869/ Video recording at https://www.youtube.com/watch?v=3Li_xIQ1K84]]>
Sun, 14 Jun 2015 10:45:43 GMT /slideshow/explore-data-data-science-visualization/49367351 roelofp@slideshare.net(roelofp) Explore Data: Data Science + Visualization roelofp Talk on Data Visualization for Data Scientist at Stockholm NLP Meetup June 2015: http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/222609869/ Video recording at https://www.youtube.com/watch?v=3Li_xIQ1K84 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datavis-150614104543-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk on Data Visualization for Data Scientist at Stockholm NLP Meetup June 2015: http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/222609869/ Video recording at https://www.youtube.com/watch?v=3Li_xIQ1K84
Explore Data: Data Science + Visualization from Roelof Pieters
]]>
4197 10 https://cdn.slidesharecdn.com/ss_thumbnails/datavis-150614104543-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Deep Learning as a Cat/Dog Detector /roelofp/deep-learning-as-a-catdog-detector catvsdogdlpycon15se-150512122612-lva1-app6891
Talk given at PYCON Stockholm 2015 Intro to Deep Learning + taking pretrained imagenet network, extracting features, and RBM on top = 97 Accuracy after 1 hour (!) of training (in top 10% of kaggle cat vs dog competition)]]>

Talk given at PYCON Stockholm 2015 Intro to Deep Learning + taking pretrained imagenet network, extracting features, and RBM on top = 97 Accuracy after 1 hour (!) of training (in top 10% of kaggle cat vs dog competition)]]>
Tue, 12 May 2015 12:26:12 GMT /roelofp/deep-learning-as-a-catdog-detector roelofp@slideshare.net(roelofp) Deep Learning as a Cat/Dog Detector roelofp Talk given at PYCON Stockholm 2015 Intro to Deep Learning + taking pretrained imagenet network, extracting features, and RBM on top = 97 Accuracy after 1 hour (!) of training (in top 10% of kaggle cat vs dog competition) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/catvsdogdlpycon15se-150512122612-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk given at PYCON Stockholm 2015 Intro to Deep Learning + taking pretrained imagenet network, extracting features, and RBM on top = 97 Accuracy after 1 hour (!) of training (in top 10% of kaggle cat vs dog competition)
Deep Learning as a Cat/Dog Detector from Roelof Pieters
]]>
36452 13 https://cdn.slidesharecdn.com/ss_thumbnails/catvsdogdlpycon15se-150512122612-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Deep Learning for Information Retrieval /slideshow/deep-learning-for-information-retrieval/47514046 280415deeplearningforinformationretrieval-150428090255-conversion-gate02
Guest Lecture at DD2476 Search Engines and Information Retrieval Systems. 28 April 2015]]>

Guest Lecture at DD2476 Search Engines and Information Retrieval Systems. 28 April 2015]]>
Tue, 28 Apr 2015 09:02:55 GMT /slideshow/deep-learning-for-information-retrieval/47514046 roelofp@slideshare.net(roelofp) Deep Learning for Information Retrieval roelofp Guest Lecture at DD2476 Search Engines and Information Retrieval Systems. 28 April 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/280415deeplearningforinformationretrieval-150428090255-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Guest Lecture at DD2476 Search Engines and Information Retrieval Systems. 28 April 2015
Deep Learning for Information Retrieval from Roelof Pieters
]]>
10495 9 https://cdn.slidesharecdn.com/ss_thumbnails/280415deeplearningforinformationretrieval-150428090255-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Graph, Data-science, and Deep Learning /slideshow/graphs-and-deep-learning/47225780 20415dlgraphsshort-150421010323-conversion-gate02
short few pointers on Graphs for Deep Learning, given at the Deep Learning Meetup Stockholm, 20 April 2015]]>

short few pointers on Graphs for Deep Learning, given at the Deep Learning Meetup Stockholm, 20 April 2015]]>
Tue, 21 Apr 2015 01:03:23 GMT /slideshow/graphs-and-deep-learning/47225780 roelofp@slideshare.net(roelofp) Graph, Data-science, and Deep Learning roelofp short few pointers on Graphs for Deep Learning, given at the Deep Learning Meetup Stockholm, 20 April 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20415dlgraphsshort-150421010323-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> short few pointers on Graphs for Deep Learning, given at the Deep Learning Meetup Stockholm, 20 April 2015
Graph, Data-science, and Deep Learning from Roelof Pieters
]]>
2006 2 https://cdn.slidesharecdn.com/ss_thumbnails/20415dlgraphsshort-150421010323-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Deep Learning: a birds eye view /slideshow/deep-learning-a-birdseye-view/47222856 20415dlbirdseyeview-150420223125-conversion-gate02
presentation given at the Deep Learning Meetup Stockholm, 20 April 2015]]>

presentation given at the Deep Learning Meetup Stockholm, 20 April 2015]]>
Mon, 20 Apr 2015 22:31:25 GMT /slideshow/deep-learning-a-birdseye-view/47222856 roelofp@slideshare.net(roelofp) Deep Learning: a birds eye view roelofp presentation given at the Deep Learning Meetup Stockholm, 20 April 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20415dlbirdseyeview-150420223125-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> presentation given at the Deep Learning Meetup Stockholm, 20 April 2015
Deep Learning: a birds eye view from Roelof Pieters
]]>
8330 15 https://cdn.slidesharecdn.com/ss_thumbnails/20415dlbirdseyeview-150420223125-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Learning to understand phrases by embedding the dictionary /slideshow/learning-to-understand-phrases-by-embedding-the-dictionary/47143402 learningtounderstandphrasesbyembeddingthedictionary-150418091712-conversion-gate01
review of "Learning to Understand Phrases by Embedding the Dictionary" by Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio at KTH's Deep Learning reading group: www.csc.kth.se/cvap/cvg/rg/]]>

review of "Learning to Understand Phrases by Embedding the Dictionary" by Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio at KTH's Deep Learning reading group: www.csc.kth.se/cvap/cvg/rg/]]>
Sat, 18 Apr 2015 09:17:12 GMT /slideshow/learning-to-understand-phrases-by-embedding-the-dictionary/47143402 roelofp@slideshare.net(roelofp) Learning to understand phrases by embedding the dictionary roelofp review of "Learning to Understand Phrases by Embedding the Dictionary" by Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio at KTH's Deep Learning reading group: www.csc.kth.se/cvap/cvg/rg/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/learningtounderstandphrasesbyembeddingthedictionary-150418091712-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> review of &quot;Learning to Understand Phrases by Embedding the Dictionary&quot; by Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio at KTH&#39;s Deep Learning reading group: www.csc.kth.se/cvap/cvg/rg/
Learning to understand phrases by embedding the dictionary from Roelof Pieters
]]>
1857 1 https://cdn.slidesharecdn.com/ss_thumbnails/learningtounderstandphrasesbyembeddingthedictionary-150418091712-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Zero shot learning through cross-modal transfer /slideshow/zero-shot-learning-through-crossmodal-transfer/44931768 zero-shotlearningthroughcross-modaltransfer-150220101019-conversion-gate01
review of the paper "Zero-Shot Learning Through Cross-Modal Transfer" by Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng. at KTH's Deep Learning reading group: www.csc.kth.se/cvap/cvg/rg/]]>

review of the paper "Zero-Shot Learning Through Cross-Modal Transfer" by Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng. at KTH's Deep Learning reading group: www.csc.kth.se/cvap/cvg/rg/]]>
Fri, 20 Feb 2015 10:10:19 GMT /slideshow/zero-shot-learning-through-crossmodal-transfer/44931768 roelofp@slideshare.net(roelofp) Zero shot learning through cross-modal transfer roelofp review of the paper "Zero-Shot Learning Through Cross-Modal Transfer" by Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng. at KTH's Deep Learning reading group: www.csc.kth.se/cvap/cvg/rg/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zero-shotlearningthroughcross-modaltransfer-150220101019-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> review of the paper &quot;Zero-Shot Learning Through Cross-Modal Transfer&quot; by Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng. at KTH&#39;s Deep Learning reading group: www.csc.kth.se/cvap/cvg/rg/
Zero shot learning through cross-modal transfer from Roelof Pieters
]]>
9983 8 https://cdn.slidesharecdn.com/ss_thumbnails/zero-shotlearningthroughcross-modaltransfer-150220101019-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Visual-Semantic Embeddings: some thoughts on Language /slideshow/visualsemantic-embeddings-some-thoughts-on-language/43833995 23jan15cvapvissemdl-150123131205-conversion-gate01
Language technology is rapidly evolving. A resurgence in the use of distributed semantic representations and word embeddings, combined with the rise of deep neural networks has led to new approaches and new state of the art results in many natural language processing tasks. One such exciting - and most recent - trend can be seen in multimodal approaches fusing techniques and models of natural language processing (NLP) with that of computer vision. The talk is aimed at giving an overview of the NLP part of this trend. It will start with giving a short overview of the challenges in creating deep networks for language, as well as what makes for a good language models, and the specific requirements of semantic word spaces for multi-modal embeddings.]]>

Language technology is rapidly evolving. A resurgence in the use of distributed semantic representations and word embeddings, combined with the rise of deep neural networks has led to new approaches and new state of the art results in many natural language processing tasks. One such exciting - and most recent - trend can be seen in multimodal approaches fusing techniques and models of natural language processing (NLP) with that of computer vision. The talk is aimed at giving an overview of the NLP part of this trend. It will start with giving a short overview of the challenges in creating deep networks for language, as well as what makes for a good language models, and the specific requirements of semantic word spaces for multi-modal embeddings.]]>
Fri, 23 Jan 2015 13:12:05 GMT /slideshow/visualsemantic-embeddings-some-thoughts-on-language/43833995 roelofp@slideshare.net(roelofp) Visual-Semantic Embeddings: some thoughts on Language roelofp Language technology is rapidly evolving. A resurgence in the use of distributed semantic representations and word embeddings, combined with the rise of deep neural networks has led to new approaches and new state of the art results in many natural language processing tasks. One such exciting - and most recent - trend can be seen in multimodal approaches fusing techniques and models of natural language processing (NLP) with that of computer vision. The talk is aimed at giving an overview of the NLP part of this trend. It will start with giving a short overview of the challenges in creating deep networks for language, as well as what makes for a good language models, and the specific requirements of semantic word spaces for multi-modal embeddings. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/23jan15cvapvissemdl-150123131205-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Language technology is rapidly evolving. A resurgence in the use of distributed semantic representations and word embeddings, combined with the rise of deep neural networks has led to new approaches and new state of the art results in many natural language processing tasks. One such exciting - and most recent - trend can be seen in multimodal approaches fusing techniques and models of natural language processing (NLP) with that of computer vision. The talk is aimed at giving an overview of the NLP part of this trend. It will start with giving a short overview of the challenges in creating deep networks for language, as well as what makes for a good language models, and the specific requirements of semantic word spaces for multi-modal embeddings.
Visual-Semantic Embeddings: some thoughts on Language from Roelof Pieters
]]>
4592 13 https://cdn.slidesharecdn.com/ss_thumbnails/23jan15cvapvissemdl-150123131205-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
Deep Learning, an interactive introduction for NLP-ers /slideshow/220115dlmeetup/43789057 22-01-15dlmeetup-150122111042-conversion-gate01
Deep Learning intro for NLP Meetup Stockholm 22 January 2015 http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/219787462/]]>

Deep Learning intro for NLP Meetup Stockholm 22 January 2015 http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/219787462/]]>
Thu, 22 Jan 2015 11:10:42 GMT /slideshow/220115dlmeetup/43789057 roelofp@slideshare.net(roelofp) Deep Learning, an interactive introduction for NLP-ers roelofp Deep Learning intro for NLP Meetup Stockholm 22 January 2015 http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/219787462/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/22-01-15dlmeetup-150122111042-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep Learning intro for NLP Meetup Stockholm 22 January 2015 http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/219787462/
Deep Learning, an interactive introduction for NLP-ers from Roelof Pieters
]]>
13777 21 https://cdn.slidesharecdn.com/ss_thumbnails/22-01-15dlmeetup-150122111042-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0
https://cdn.slidesharecdn.com/profile-photo-roelofp-48x48.jpg?cb=1700915110 I'm rolling with your data, not enough for ya, I ain't an ordinary beta. Got a Master of Arts in Anthropology, not something ya might see. PhD candidate at KTH dropping multimodal modeling and Deep Learning. Love language and it loves me back, cofounder with a dream team at creative AI creative.ai/ https://cdn.slidesharecdn.com/ss_thumbnails/speculationsbristolv5forpdfgoodq-191010162634-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/speculations-in-anthropology-and-tech-for-an-uncertain-future/180730895 Speculations in anthro... https://cdn.slidesharecdn.com/ss_thumbnails/cai-pydata-berlin-170809170938-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ai-assisted-creativity/78705701 AI assisted creativity https://cdn.slidesharecdn.com/ss_thumbnails/pydata17adamplayingann-170408184553-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/creativity-and-ai-deep-neural-nets-going-wild/74737868 Creativity and AI: De...