PDF slides: Scalable Machine Learning (based on slides by Li-Li Fei, Justin Johnson, Serena Yeung, Song Han)

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Practicum Instructions: https://docs.google.com/document/d/1Io6lKvMQszi0OvpOuRyHUIDdk49qUmHtTOwVVWnP9L8/edit?usp=drivesdk

For technical background material, there are the following papers,

• In-Datacenter Performance Analysis of a Tensor Processing Unit
• Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Distributed TensorFlow (TensorFlow Dev Summit 2017)

• CS231n: Convolutional Neural Networks for Visual Recognition is the source for the material in this lecture.
• Tensorflow Transfer Laerning Tutorial on an image recognition task.
• Deep Learning with PyTorch: A 60 Minute Blitz basic tutorial for PyTorch beginners.