NYU Center for Data Science | INCF TrainingSpace

Energy-Based Models I 1:51:30

Recurrent Neural Networks, Vanilla and Gated (LSTM) 1:05:36

Natural Signal Properties and the Convolutional Net 1:09:12

Convolutional Nets in Practice 51:40

Recurrent and Convolutional Nets 1:59:47

Neural Nets Training 1:05:47

Modules and Architecture 1:42:26

Neural Nets Inference 1:01:53

Gradient Descent and the Backpropagation Algorithm 1:51:03

Introduction to Deep Learning: History and Resources 50:17

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