TensorLayer 1.4.0 Documentation - Read The Docs

API Reference¶

If you are looking for information on a specific function, class or method, this part of the documentation is for you.

  • API - Layers
    • Understand Basic layer
    • Understand Dense layer
    • Your layer
    • Layer list
    • Name Scope and Sharing Parameters
    • Basic layer
    • Input layer
    • One-hot layer
    • Word Embedding Input layer
    • Dense layer
    • Noise layer
    • Convolutional layer (Pro)
    • Convolutional layer (Simplified)
    • Pooling layer
    • Padding layer
    • Normalization layer
    • Time distributed layer
    • Fixed Length Recurrent layer
    • Advanced Ops for Dynamic RNN
    • Dynamic RNN layer
    • Sequence to Sequence
    • Shape layer
    • Lambda layer
    • Merge layer
    • Extend layer
    • Estimator layer
    • Connect TF-Slim
    • Connect Keras
    • Parametric activation layer
    • Flow control layer
    • Wrapper
    • Helper functions
  • API - Cost
    • Your cost function
    • Softmax cross entropy
    • Sigmoid cross entropy
    • Binary cross entropy
    • Mean squared error
    • Dice coefficient
    • Hard Dice coefficient
    • IOU coefficient
    • Cross entropy for sequence
    • Cross entropy with mask for sequence
    • Cosine similarity
    • Regularization functions
  • API - Preprocessing
    • Threading
    • Images
    • Sequence
    • Tensor Opt
  • API - Iteration
    • Non-time series
    • Time series
  • API - Utility
    • Training, testing and predicting
    • Evaluation functions
    • Class balancing functions
    • Helper functions
  • API - Natural Language Processing
    • Iteration function for training embedding matrix
    • Sampling functions
    • Vector representations of words
    • Read words from file
    • Read analogy question file
    • Build vocabulary, word dictionary and word tokenization
    • Convert words to IDs and IDs to words
    • Functions for translation
  • API - Reinforcement Learning
    • Reward functions
    • Cost functions
  • API - Load, Save Model and Data
    • Load dataset functions
    • Load and save network
    • Load and save variables
    • Visualizing npz file
    • Folder functions
  • API - Visualize Model and Data
    • Visualize model parameters
    • Visualize images
    • Visualize embeddings
  • API - Operation System
    • TensorFlow functions
    • GPU functions
    • Console display
    • Site packages information
    • Trash
  • API - Activations
    • Your activation
    • Identity
    • Ramp
    • Leaky Relu
    • Pixel-wise Softmax
    • Parametric activation

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