Aman's AI Journal • Primers • Ilya Sutskever's Top 30

Aman's AI Journal | Course notes and learning material for Artificial Intelligence and Deep Learning Stanford classes.

Ilya Sutskever’s Top 30 Reading List The First Law of Complexodynamics The Unreasonable Effectiveness of Recurrent Neural Networks Understanding LSTM Networks Recurrent Neural Network Regularization Keeping Neural Networks Simple by Minimizing the Description Length of the Weights Pointer Networks ImageNet Classification with Deep Convolutional Neural Networks Order Matters: Sequence to Sequence for Sets GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism Deep Residual Learning for Image Recognition Multi-Scale Context Aggregation by Dilated Convolutions Neural Message Passing for Quantu

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