GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

we are pleased to present a new open source program called Computer Vision Annotation Tool (CVAT, pronounced “si-vi-eɪ-ti”) that accelerates the process of annotating digital images and videos for use in training computer vision algorithms. In this post,…

I'm giving the introductory keynote at the International Solid State Circuit Conference in San Francisco this morning at 8:45 PST. Slides here: https://t.co/UqYx4HPhYL

Posted by Johan Schalkwyk, Google Fellow, Speech Team In 2012, speech recognition research showed significant accuracy improvements with deep learn...

In this post, I will show you the importance of properly initializing the weights of your deep neural network.

Optimize layers structure of Keras model to reduce computation time - GitHub - ZFTurbo/Keras-inference-time-optimizer: Optimize layers structure of Keras model to reduce computation time

My public projects about object detection algorithms - creotiv/object_detection_projects

Character level models for NLP facilitate large vocabularies and remove computational bottlenecks during model training. This post reviews those traits and discusses the drawbacks of character level models for NLP.

Style transfer typically requires neural networks with a well-developed hierarchy of features for calculating the loss. Thus for this…

The ability to decompose scenes in terms of abstract building blocks is crucial for general intelligence. Where those basic building blocks share meaningful properties, interactions and other...

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A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch - NVIDIA/apex