Dive into Deep Learning with NumPy – D2L
Dive into Deep Learning with NumPy – D2L


Did you ever want to find out about deep learning but didn’t have time to spend months? New to machine learning? Do you want to build image classifiers, NLP apps, train on many GPUs or even on many machines? If you’re an engineer or data scientist, this course is for you. The course consists of four segments covering the following:

Deep Learning Basics
Convolutional Neural Networks for computer vision
Best practices (GPUs, Parallelization, Fine Tuning, Transfer Learning)
Recurrent Neural Networks for natural language (RNN, LSTM, GRU)


Alex Smola is the Manager of the Cloud Machine Learning Platform at Amazon. Prior to his role at Amazon, Smola was a Professor in the Machine Learning Department of Carnegie Mellon University and cofounder and CEO of Marianas Labs. Prior to that he worked at Google Strategic Technologies, Yahoo Research, and National ICT Australia. Prior to joining CMU, he was professor at UC Berkeley and the Australian National University. Alex obtained his PhD at TU Berlin in 1998. He has published over 200 papers and written or coauthored 5 books.

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