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21. (hist) ‎Autoencoders and Sparsity ‎[9,596 bytes]
22. (hist) ‎Data Preprocessing ‎[9,577 bytes]
23. (hist) ‎深度网络概览 ‎[9,451 bytes]
24. (hist) ‎Exercise:Softmax Regression ‎[9,147 bytes]
25. (hist) ‎Self-Taught Learning ‎[9,002 bytes]
26. (hist) ‎神经网络 ‎[8,932 bytes]
27. (hist) ‎UFLDL Recommended Readings ‎[8,559 bytes]
28. (hist) ‎自我学习 ‎[8,279 bytes]
29. (hist) ‎Neural Networks ‎[8,133 bytes]
30. (hist) ‎梯度检验与高级优化 ‎[7,748 bytes]
31. (hist) ‎Gradient checking and advanced optimization ‎[7,681 bytes]
32. (hist) ‎Exercise:PCA and Whitening ‎[7,243 bytes]
33. (hist) ‎Whitening ‎[6,509 bytes]
34. (hist) ‎栈式自编码算法 ‎[6,457 bytes]
35. (hist) ‎白化 ‎[6,350 bytes]
36. (hist) ‎Stacked Autoencoders ‎[6,007 bytes]
37. (hist) ‎Self-Taught Learning to Deep Networks ‎[5,486 bytes]
38. (hist) ‎Exercise: Implement deep networks for digit classification ‎[5,274 bytes]
39. (hist) ‎Feature extraction using convolution ‎[5,057 bytes]
40. (hist) ‎从自我学习到深层网络 ‎[5,011 bytes]

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