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Deep Learning v0.1 documentation
Deep Learning v0.1 documentation
时间：
2014-06-05 03:05:05
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LICENSE
Deep Learning Tutorials
Getting Started
Datasets
Notation
A Primer on Supervised Optimization for Deep Learning
Theano/Python Tips
Classifying MNIST digits using Logistic Regression
The Model
Defining a Loss Function
Creating a LogisticRegression class
Learning the Model
Testing the model
Putting it All Together
Multilayer Perceptron
The Model
Going from logistic regression to MLP
Putting it All Together
Tips and Tricks for training MLPs
Convolutional Neural Networks (LeNet)
Motivation
Sparse Connectivity
Shared Weights
Details and Notation
The ConvOp
MaxPooling
The Full Model: LeNet
Putting it All Together
Running the Code
Tips and Tricks
References
Stacked Denoising Autoencoders (SdA)
Autoencoders
Denoising Autoencoders (dA)
Stacked Autoencoders
Putting it all together
Running the Code
References
Deep Learning v0.1 documentation,布布扣,bubuko.com
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