Library Documentation

• Datasets
  • Dataset Base Classes
    • Dataset
    • Dense Design Matrix
  • List of Datasets
    • MNIST
    • MNIST+
    • CIFAR10
    • CIFAR100
    • Street View House Numbers (SVHN)
    • STL 10
    • Adult
    • Binarizer
    • COS dataset
    • CSV dataset
    • Hepatitis
    • Icml07
    • Iris
    • Matlab Dataset
    • Norb
    • Small Norb
    • Npy dataset
    • OCR
    • Sparse dataset
    • h5py dataset
    • Toronto Face Dataset
    • NIPS 2011 Transfer Learning Challenge
    • Transformer dataset
    • Vector spaces dataset
    • Wiskott
    • Zca dataset
  • Other view converters
    • Retina
  • Other
    • Config
    • Control
    • Debug
    • Exception
    • File Tensor
    • Four regions
    • Preprocessing
    • Utilities
• Models
  • Models Base Class
  • K-means
  • MLP
  • Principal Component Analysis
  • RBM
  • DBM
  • Ising
  • Auto Encoder
  • Maxout
  • Differentiable sparse coding
  • GSN
  • Independent multiclass logistic
  • Local coordinate coding
  • Multivariate normal distribution
  • Normalized EBM
  • S3C
  • Softmax Regression
  • Sparse Autoencoder
  • SVM
• Corruption
• Training
  • pylearn2.train.py
  • pylearn2.scripts.train.py
  • Training Algorithms
    • Base Class
    • Default
    • Learning rule
    • Stochastic Gradient Descent
    • Batch Gradient Descent
  • Train Extensions
    • Basic
    • Best Params
    • Window Flip
• Costs
  • Basic
  • MLP
    • Basic
    • Dropout
    • Missing target cost
  • Auto Encoder
  • DBM
  • EBM
  • GSN
• Monitoring
  • Monitor
• Linear Transform
  • Intro
  • Functions
    • 2D Convolution
    • 2D Convolution C01B
    • Matrix Multiplication
    • Linear Transformation
    • Local C01B
• Cuda-Convnet
  • Intro
  • Modules
    • Convolution
    • Pool
    • Response Normalization
• Scripts
  • Monitoring
    • Diff Monitor
    • Num Parameters
    • Plot Monitor
    • Print Channel Doc
    • Print model
    • Summarize Model
  • Visualization
    • Show binocular greyscale examples
    • Show Examples
    • Show Weights
  • Other
    • Find GPU fields
    • GPU to CPU pkl
    • Pkl inspector
    • Train
    • Predict
• Configuration
  • YAML parser
  • Old configuration
• Costs
  • Basic
  • MLP
    • Basic
    • Dropout
    • Missing target cost
  • Auto Encoder
  • DBM
  • EBM
  • GSN
• Developer tools
  • List Files
  • Nan guard
  • Run pyflakes
• Distributions
  • Multivariate Normal Distribution
  • Multinomial
  • Parzen
  • Uniform Hypersphere
• Energy Functions
  • Basic
  • RBM Energy
• Expressions
  • Activations
  • Basic
  • Coding
  • Image
  • Information Theory
  • Neural Network
  • Normalization
  • Preprocessing
  • Probabilistic Max Pooling
  • Sampling
  • Stochastic Pool
• Formatting
  • Target format
• Graphical User Interface
  • Weights report
  • 2D graphs
  • Patch viewer
• Optimization
  • Batch Gradient Descent
  • Feature Sign
  • Linear conjugate
  • Linesearch
  • Minimum Residual Norm
• Utilities
  • Basic
  • Bit strings
  • Call check
  • Common strings
  • Compile
  • Data specifications
  • Datasets
  • Exceptions
  • General
  • Image
  • Insert along axis
  • Iteration
  • Logger
  • Memory
  • MNIST
  • Pooling
  • Python26
  • RNG
  • Serial
  • Shell
  • String utilities
  • Testing
  • Theano Graph
  • Timing
  • Track Version
  • UTLC
  • Video
• Termination Criteria
  • Basic
• Space
  • Basic
• Miscellaneous
  • Blocks
  • RBM tools