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Coursera: Neural Networks for Machine Learning- Lecture 13

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Coursera: Neural Networks for Machine Learning- Lecture 13

Belief Nets & wake-sleep algorithm

Coursera: Neural Networks for Machine Learning- Lecture 11

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Coursera: Neural Networks for Machine Learning- Lecture 11

Energy-based Models

Coursera: Neural Networks for Machine Learning- Lecture 10

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Coursera: Neural Networks for Machine Learning- Lecture 10

Ways to improve generalization

Coursera: Neural Networks for Machine Learning- Lecture 9

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Coursera: Neural Networks for Machine Learning- Lecture 9

Ways to improve generalization

Coursera: Neural Networks for Machine Learning- Lecture 8

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Coursera: Neural Networks for Machine Learning- Lecture 8

Hessian Free Optimization(optional)

Coursera: Neural Networks for Machine Learning- Lecture 7

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Coursera: Neural Networks for Machine Learning- Lecture 7

Modeling sequences & RNN

Coursera: Neural Networks for Machine Learning- Lecture 6

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Coursera: Neural Networks for Machine Learning- Lecture 6

Overview of mini-batch gradient descent & tricks

Coursera: Neural Networks for Machine Learning- Lecture 5

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Coursera: Neural Networks for Machine Learning- Lecture 5

Object recognition & CNN

Coursera: Neural Networks for Machine Learning- Lecture 4

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Coursera: Neural Networks for Machine Learning- Lecture 4

Language Models & Softmax output

Coursera: Neural Networks for Machine Learning- Lecture 3

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Coursera: Neural Networks for Machine Learning- Lecture 3

Learning procedure of Neural Networks