ºÝºÝߣshows by User: LarryGuo2 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: LarryGuo2 / Tue, 11 Sep 2018 05:16:02 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: LarryGuo2 Machine Learning for Trading /slideshow/machine-learning-for-trading-113883863/113883863 mlfortradig180328-180911051602
A brief introduction of Machine Learning and Depp Learning. And How it views on Trading]]>
A brief introduction of Machine Learning and Depp Learning. And How it views on Trading]]> Tue, 11 Sep 2018 05:16:02 GMT /slideshow/machine-learning-for-trading-113883863/113883863 LarryGuo2@slideshare.net(LarryGuo2) Machine Learning for Trading LarryGuo2 A brief introduction of Machine Learning and Depp Learning. And How it views on Trading <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mlfortradig180328-180911051602-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A brief introduction of Machine Learning and Depp Learning. And How it views on Trading
Machine Learning for Trading from Larry Guo
]]> 410 1 https://cdn.slidesharecdn.com/ss_thumbnails/mlfortradig180328-180911051602-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 A Walk in the GAN Zoo /slideshow/a-walk-in-the-gan-zoo/81974945 awalkintheganzoo-171113112403
A study summary on Generative Adversarial Network (GAN) Alone with Youtube Video in Mandarine (https://www.youtube.com/watch?v=c6mngSqcSIw&feature=youtu.be) In 4 angles: GAN Training GAN vs Latent Space GAN Autoencoder Super Resolution GAN ]]>
A study summary on Generative Adversarial Network (GAN) Alone with Youtube Video in Mandarine (https://www.youtube.com/watch?v=c6mngSqcSIw&feature=youtu.be) In 4 angles: GAN Training GAN vs Latent Space GAN Autoencoder Super Resolution GAN ]]> Mon, 13 Nov 2017 11:24:03 GMT /slideshow/a-walk-in-the-gan-zoo/81974945 LarryGuo2@slideshare.net(LarryGuo2) A Walk in the GAN Zoo LarryGuo2 A study summary on Generative Adversarial Network (GAN) Alone with Youtube Video in Mandarine (https://www.youtube.com/watch?v=c6mngSqcSIw&feature=youtu.be) In 4 angles: GAN Training GAN vs Latent Space GAN Autoencoder Super Resolution GAN <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/awalkintheganzoo-171113112403-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A study summary on Generative Adversarial Network (GAN) Alone with Youtube Video in Mandarine (https://www.youtube.com/watch?v=c6mngSqcSIw&amp;feature=youtu.be) In 4 angles: GAN Training GAN vs Latent Space GAN Autoencoder Super Resolution GAN
A Walk in the GAN Zoo from Larry Guo
]]> 1854 6 https://cdn.slidesharecdn.com/ss_thumbnails/awalkintheganzoo-171113112403-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 Introducing google’s mobile nets /slideshow/introducing-googles-mobile-nets/77922874 introducinggooglesmobilenets-170716073941
Google announces the open source of MobileNe : Primarily focus on optimizing for latency but also yield small networks. https://arxiv.org/abs/1704.04861 This material is to serve as guide reading of the paper. ]]>
Google announces the open source of MobileNe : Primarily focus on optimizing for latency but also yield small networks. https://arxiv.org/abs/1704.04861 This material is to serve as guide reading of the paper. ]]> Sun, 16 Jul 2017 07:39:41 GMT /slideshow/introducing-googles-mobile-nets/77922874 LarryGuo2@slideshare.net(LarryGuo2) Introducing google’s mobile nets LarryGuo2 Google announces the open source of MobileNe : Primarily focus on optimizing for latency but also yield small networks. https://arxiv.org/abs/1704.04861 This material is to serve as guide reading of the paper. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introducinggooglesmobilenets-170716073941-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Google announces the open source of MobileNe : Primarily focus on optimizing for latency but also yield small networks. https://arxiv.org/abs/1704.04861 This material is to serve as guide reading of the paper.
Introducing google’s mobile nets from Larry Guo
]]> 699 5 https://cdn.slidesharecdn.com/ss_thumbnails/introducinggooglesmobilenets-170716073941-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Deep Learning: Recurrent Neural Network (Chapter 10) /slideshow/chapter-10-170505-l/76851362 chapter10170505l-170612022817
This Material is an in_depth study report of Recurrent Neural Network (RNN) Material mainly from Deep Learning Book Bible, http://www.deeplearningbook.org/ Topics: Briefing, Theory Proof, Variation, Gated RNNN Intuition. Real World Application Application (CNN+RNN on SVHN) Also a video (In Chinese) https://www.youtube.com/watch?v=p6xzPqRd46w]]>
This Material is an in_depth study report of Recurrent Neural Network (RNN) Material mainly from Deep Learning Book Bible, http://www.deeplearningbook.org/ Topics: Briefing, Theory Proof, Variation, Gated RNNN Intuition. Real World Application Application (CNN+RNN on SVHN) Also a video (In Chinese) https://www.youtube.com/watch?v=p6xzPqRd46w]]> Mon, 12 Jun 2017 02:28:17 GMT /slideshow/chapter-10-170505-l/76851362 LarryGuo2@slideshare.net(LarryGuo2) Deep Learning: Recurrent Neural Network (Chapter 10) LarryGuo2 This Material is an in_depth study report of Recurrent Neural Network (RNN) Material mainly from Deep Learning Book Bible, http://www.deeplearningbook.org/ Topics: Briefing, Theory Proof, Variation, Gated RNNN Intuition. Real World Application Application (CNN+RNN on SVHN) Also a video (In Chinese) https://www.youtube.com/watch?v=p6xzPqRd46w <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chapter10170505l-170612022817-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This Material is an in_depth study report of Recurrent Neural Network (RNN) Material mainly from Deep Learning Book Bible, http://www.deeplearningbook.org/ Topics: Briefing, Theory Proof, Variation, Gated RNNN Intuition. Real World Application Application (CNN+RNN on SVHN) Also a video (In Chinese) https://www.youtube.com/watch?v=p6xzPqRd46w
Deep Learning: Recurrent Neural Network (Chapter 10) from Larry Guo
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