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Keras-MatMulLess 0.1.2.dev39+f7443f9 documentation
Keras-MatMulLess 0.1.2.dev39+f7443f9 documentation
  • Getting Started
    • Installation
    • Tutorial
  • Code Examples
    • MNIST Classification
    • Time Series Forecasting
    • Autoencoders
    • Credit Card Fraud Detection
    • Gated Linear Units (GLUs)
    • Text Classification With Transformer
    • Image Classification With Vision Transformer
    • Hyperparameter Tuning
  • Explanations
    • Why Make Keras-MML?
    • Dense
    • Recurrent Units
    • Attention and Transformers
  • API Reference
    • Guides
      • Call Syntax
    • Reference
      • Layers
        • keras_mml.layers.activations
          • GLUMML
          • BilinearMML
          • GeGLUMML
          • ReGLUMML
          • SeGLUMML
          • SwiGLUMML
        • keras_mml.layers.core
          • DenseMML
          • PatchEmbedding
          • TokenEmbedding
        • keras_mml.layers.normalizations
          • RMSNorm
        • keras_mml.layers.recurrent
          • GRUMML
          • LRUMML
          • GRUCellMML
          • LRUCellMML
        • keras_mml.layers.transformer
          • AttentionMML
          • TransformerBlockMML
        • keras_mml.layers.misc
          • Patches
      • Utilities
        • keras_mml.utils.array
          • keras_mml.utils.array.encoding
            • decode_ternary_array
            • encode_ternary_array
          • keras_mml.utils.array.ternary_multiplication
            • ternary_multiplication
        • keras_mml.utils.misc
          • keras_mml.utils.misc.coverage
            • torch_compile
          • keras_mml.utils.misc.number
            • int_to_bin
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ExplanationsΒΆ

These pages contain explanatory notes about the layers and about the project.

  • Why Make Keras-MML?
  • Dense
  • Recurrent Units
  • Attention and Transformers
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Rationale
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Hyperparameter Tuning With KerasTuner
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