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Deep learning frameworks have often focused on either usability or speed, but not both. PyTorch is a machine learning library… Expand Recent work has demonstrated that deep neural networks are vulnerable to adversarial examples---inputs that are almost… Expand We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between… Expand We propose a conceptually simple and lightweight framework for deep reinforcement learning that uses asynchronous gradient… Expand The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known… Expand Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework… Expand Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex… Expand This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and… Expand We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input… Expand Deep networks have been successfully applied to unsupervised feature learning for single modalities (e.g., text, images or audio… Expand