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Deep Learning Study Notes:

Deep Learning 21: Depth learning attempt for modulation signal classification 3

Deep learning 20: Depth learning attempt for modulation signal classification 2_CNN

Deep learning 19_ Depth Learning UFLDL Tutorial: convolutional neural network_exercise (Stanford University Deep Learning tutorial)

Deep learning 18:DBM's study and practice _ reading paper "Deep Boltzmann Machines" notes

Deep Learning 17:DBN Study _ read paper "A fast Learning algorithm for deep belief Nets" summary

Deep learning 16: Using self-encoder to reduce the data dimension _ read paper "Reducing the dimensionality of data with neural Networks" notes

Study of Deep learning 15:RBM

Deep Learning 14: Depth learning attempt for modulation signal classification 1

Deep learning 13_ Depth Learning UFLDL Tutorial: Independent Component analysis_exercise (Stanford University Deep Learning tutorial)

Deep learning 12_ Depth Learning UFLDL Tutorial: Sparse coding_exercise (Stanford University Deep Learning tutorial)

Deep learning 11_ Depth Learning UFLDL Tutorial: Data preprocessing (Stanford University Deep Learning tutorial)

Deep learning 10_ Depth Learning UFLDL Tutorial: Convolution and Pooling_exercise (Stanford University Deep Learning tutorial)

Deep learning 9_ Depth Learning UFLDL Tutorial: Linear decoder_exercise (Stanford University Deep Learning tutorial)

Deep learning 8_ Depth Learning UFLDL Tutorial: Stacked autocoders and Implement deepin networks for digit Classification_ Exercise (Deep Learning course at Stanford University)

Deep learning 7_ Depth Learning UFLDL Tutorial: Self-taught learning_exercise (Stanford University Deep Learning tutorial)

Deep learning 6_ Depth Learning UFLDL Tutorial: Softmax regression_exercise (Stanford University Deep Learning tutorial)

Deep learning 5_ Depth Learning UFLDL Tutorial: PCA and Whitening_exercise (Stanford University Deep Learning tutorial)

Deep learning 4_ Depth Learning UFLDL Tutorial: PCA in 2d_exercise (Stanford University Deep Learning tutorial)

Deep learning 3_ Depth Learning UFLDL Tutorial: Principal component Analysis and whitening summary of preprocessing (Stanford Deep Learning Tutorial)

Deep learning 2_ Depth Learning UFLDL Tutorial: Vectorization Programming (Stanford University Deep Learning tutorial)

Deep learning 1_ Depth Learning UFLDL Tutorial: Sparse autoencoder Exercises (Stanford University Deep Learning tutorial)

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