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CS 194-129: Deep Neural Networks

Notes from the Spring 2018 offering of CS 194-129 at UC Berkeley.

Lecturers include John Canny, Alexei Efros, Erin Grant, Bo Li, Mike Lewis, Carlos Florensa, Chelsea Finn, and Andrew Critch.
Readings include Deep Learning by Goodfellow et al., A Comprehensive Guide to Machine Learning by Nasiriany et al., and CS 231n class notes.

Lecture	Note
01/17/18	Introduction
01/22/18	Discriminative Models
01/24/18	SVMs, Multiclass Classification
01/29/18	Optimization
01/31/18	Backpropagation, CNNs
02/05/18	Training Neural Networks I
02/07/18	Training Neural Networks II
02/12/18	CNN Applications
02/14/18	Recurrent Networks, LSTMs
02/21/18	Visualization
02/28/18	Making Computers Study Harder
03/05/18	Text Semantics
03/07/18	Attention
03/12/18	Translation
03/14/18	Memory Networks
03/19/18	Generative Adversarial Nets
03/21/18	Imitation Learning
04/02/18	Adversarial ML
04/04/18	The Art of the Deal
04/11/18	Policy Gradients
04/16/18	Value-Based RL Algorithms
04/18/18	Imagination and Curiosity
04/23/18	Learning to Learn
04/25/18	AI and Existential Risk