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Episode 19 | Dumitru Erhan
Understanding Deep Architectures and the Effect of Unsupervised Pretraining
Papers and Links:
Dumitru's Homepage
Thesis
A fast learning algorithm for deep belief nets
Scaling Learning Algorithms Towards AI
Greedy Layer-Wise Training of Deep Networks
Learning deep architectures for AI
Going deeper with convolutions
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning
Listen:
The Thesis Review
ยท
[42] Charles Sutton - Efficient Training Methods for Conditional Random Fields