2016 DeepLearningBook

• (Goodfellow et al., 2016) ⇒ Ian J. Goodfellow, Yoshua Bengio, and Aaron Courville. (2015). “Deep Learning.” ISBN:0262035618

Subject Headings: Deep Learning Algorithm; Deep Belief Networks.

Notes

• Book Website: http://deeplearningbook.org/

Cited By

• http://scholar.google.com/scholar?q=%222015%22+Deep+Learning

2015

• (Goldberg, 2015) ⇒ Yoav Goldberg. (2015). “A Primer on Neural Network Models for Natural Language Processing.” In: Technical Report, October 5, 2015.

Quotes

1 Introduction[1]
Part I: Applied Math and Machine Learning Basics
       2 Linear Algebra
       3 Probability and Information Theory
       4 Numerical Computation
       5 Machine Learning Basics
Part II: Modern Practical Deep Networks
       6 Feedforward Deep Networks
       7 Regularization
       8 Optimization for Training Deep Models
       9 Convolutional Networks
       10 Sequence Modeling: Recurrent and Recursive Nets
       11 Practical Methodology
       12 Applications
Part III: Deep Learning Research
       13 Linear Factor Models and Auto-Encoders
       14 Representation Learning
       15 The Manifold Perspective on Representation Learning
       16 Structured Probabilistic Models for Deep Learning
       17 Monte Carlo Methods
       18 Confronting the Partition Function
       19 Approximate Inference
       20 Deep Generative Models [2]

References

;

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2016 DeepLearningBook	Yoshua Bengio Aaron Courville Yoav Goldberg Ian J. Goodfellow			Deep Learning						2015