際際滷shows by User: AmitKushwaha25 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: AmitKushwaha25 / Thu, 11 May 2017 02:47:25 GMT 際際滷Share feed for 際際滷shows by User: AmitKushwaha25 Image Aesthetic Assessment With Deep Learning /slideshow/image-aesthetic-assessment-with-deep-learning/75873210 eyeq-170511024726
Image aesthetic evaluation aims to classify photos into high quality or low quality from the perspective of human. Many visual features have been explored under this formulation (handcrafted features), ranging from low-level image statistics, such as edge distributions and color histograms, to high-level photographic rules, such as the rule of thirds and golden ratio]]>
Image aesthetic evaluation aims to classify photos into high quality or low quality from the perspective of human. Many visual features have been explored under this formulation (handcrafted features), ranging from low-level image statistics, such as edge distributions and color histograms, to high-level photographic rules, such as the rule of thirds and golden ratio]]> Thu, 11 May 2017 02:47:25 GMT /slideshow/image-aesthetic-assessment-with-deep-learning/75873210 AmitKushwaha25@slideshare.net(AmitKushwaha25) Image Aesthetic Assessment With Deep Learning AmitKushwaha25 Image aesthetic evaluation aims to classify photos into high quality or low quality from the perspective of human. Many visual features have been explored under this formulation (handcrafted features), ranging from low-level image statistics, such as edge distributions and color histograms, to high-level photographic rules, such as the rule of thirds and golden ratio <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eyeq-170511024726-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Image aesthetic evaluation aims to classify photos into high quality or low quality from the perspective of human. Many visual features have been explored under this formulation (handcrafted features), ranging from low-level image statistics, such as edge distributions and color histograms, to high-level photographic rules, such as the rule of thirds and golden ratio
Image Aesthetic Assessment With Deep Learning from Amit Kushwaha
]]> 1361 3 https://cdn.slidesharecdn.com/ss_thumbnails/eyeq-170511024726-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 Convolution Neural Network /slideshow/convolution-neural-network-74377185/74377185 talkcnn-170404183528
The slides majorly covers 1.Introduction to CNN. 2. Visual Representation of Perceptron being trained on a dataset. 3. Key Concepts used in CNN modeling.]]>
The slides majorly covers 1.Introduction to CNN. 2. Visual Representation of Perceptron being trained on a dataset. 3. Key Concepts used in CNN modeling.]]> Tue, 04 Apr 2017 18:35:28 GMT /slideshow/convolution-neural-network-74377185/74377185 AmitKushwaha25@slideshare.net(AmitKushwaha25) Convolution Neural Network AmitKushwaha25 The slides majorly covers 1.Introduction to CNN. 2. Visual Representation of Perceptron being trained on a dataset. 3. Key Concepts used in CNN modeling. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/talkcnn-170404183528-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The slides majorly covers 1.Introduction to CNN. 2. Visual Representation of Perceptron being trained on a dataset. 3. Key Concepts used in CNN modeling.
Convolution Neural Network from Amit Kushwaha
]]> 888 2 https://cdn.slidesharecdn.com/ss_thumbnails/talkcnn-170404183528-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 https://cdn.slidesharecdn.com/profile-photo-AmitKushwaha25-48x48.jpg?cb=1559467810 I am a Machine Learning Engineer at Zomato. My major areas of interests are Deep Learning and Natural Language Processing. I completed undergrad from IIIT-Allahabad with major in Electronics and Communication. Some of my notable projects in the Deep Learning includes Synthesizing Insights and actionable items from user opinions and reviews , Photo Classification tailored to Food search and Discovery platforms and EyeQ (Image Quality and Aesthetics determination). I dream to pursue Artificial Intelligence as an independent researcher in future. http://amitkushwaha.co.in https://cdn.slidesharecdn.com/ss_thumbnails/eyeq-170511024726-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/image-aesthetic-assessment-with-deep-learning/75873210 Image Aesthetic Assess... https://cdn.slidesharecdn.com/ss_thumbnails/talkcnn-170404183528-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/convolution-neural-network-74377185/74377185 Convolution Neural Net...