狠狠撸shows by User: AmitKushwaha25
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Thu, 11 May 2017 02:47:25 GMT狠狠撸Share feed for 狠狠撸shows by User: AmitKushwaha25Image 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/75873210AmitKushwaha25@slideshare.net(AmitKushwaha25)Image Aesthetic Assessment With Deep LearningAmitKushwaha25Image 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&height=120&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
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13613https://cdn.slidesharecdn.com/ss_thumbnails/eyeq-170511024726-thumbnail.jpg?width=120&height=120&fit=boundspresentation000000http://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Convolution 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-74377185/74377185AmitKushwaha25@slideshare.net(AmitKushwaha25)Convolution Neural NetworkAmitKushwaha25The 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&height=120&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.
]]>
8892https://cdn.slidesharecdn.com/ss_thumbnails/talkcnn-170404183528-thumbnail.jpg?width=120&height=120&fit=boundspresentation000000http://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0https://cdn.slidesharecdn.com/profile-photo-AmitKushwaha25-48x48.jpg?cb=1559467810I 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.inhttps://cdn.slidesharecdn.com/ss_thumbnails/eyeq-170511024726-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/image-aesthetic-assessment-with-deep-learning/75873210Image Aesthetic Assess...https://cdn.slidesharecdn.com/ss_thumbnails/talkcnn-170404183528-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/convolution-neural-network-74377185/74377185Convolution Neural Net...