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Rindow Neural Networks

Neural networks library for PHP

  1. Rindow Neural Networks
  2. API reference

API reference

  • Builders
    • NeuralNetworks
    • Models
    • Layers
    • Losses
    • Optimizers
    • Gradient
    • Datasets
    • Data
  • Models
    • Sequential
    • ModelLoader
    • AbstractModel
  • Layers
    • Dense
    • Activation
    • Flatten
    • ExpandDims
    • Concatenate
    • Embedding
    • RepeatVector
    • Gather
    • Max
    • Dropout
    • BatchNormalization
    • Conv1D
    • Conv2D
    • Conv3D
    • MaxPooling1D
    • MaxPooling2D
    • MaxPooling3D
    • AveragePooling1D
    • AveragePooling2D
    • AveragePooling3D
    • GlobalMaxPooling1D
    • GlobalMaxPooling2D
    • GlobalMaxPooling3D
    • GlobalAveragePooling1D
    • GlobalAveragePooling2D
    • GlobalAveragePooling3D
    • SimpleRNN
    • LSTM
    • GRU
    • Attention
    • MultiHeadAttention
    • Add
    • EinsumDense
    • InheritMask
  • Activations
    • ReLU
    • Sigmoid
    • Softmax
    • Tanh
  • Losses
    • MeanSquaredError
    • BinaryCrossEntropy
    • CategoricalCrossEntropy
    • SparseCategoricalCrossEntropy
    • Huber
  • Optimizers
    • SGD
    • Adam
    • RMSprop
  • Gradient Tools
    • Variable
    • GradientTape
    • GraphFunction
    • ndarray
    • ArraySpec
    • modules
  • Gradient Functions
    • add
    • bandpart
    • cast
    • clipByValue
    • div
    • equal
    • exp
    • get
    • greater
    • increment
    • less
    • log
    • matmul
    • mul
    • notEqual
    • ones
    • onesLike
    • reduceMean
    • reduceSum
    • repeat
    • reshape
    • scale
    • shape
    • sqrt
    • square
    • stopGradient
    • sub
    • transpose
    • zeros
    • zerosLike
  • Datasets
    • MNIST
    • Fashion-MNIST
    • CIFAR-10
  • Data\Dataset
    • NDArrayDataset
    • CSVDataset
    • ClassifiedDirectoryDataset
    • SequentialDataset
  • Data\Sequence
    • Preprocessor
    • Tokenizer
    • TextClassifiedDataset
  • Data\Image
    • ImageFilter
    • ImageDataGenerator
    • ImageClassifiedDataset
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Contents

  • Home
    • Overview
    • Why do deep learning with PHP?
    • Requirements
    • Note
  • Getting started
  • Installation
  • Tutorials
    • Basic image clasification on PHP
    • Convolutional Neural Network(CNN) on PHP
    • Learning to add numbers with seq2seq on PHP
    • Neural machine translation with attention on PHP
    • Neural machine translation with transformer on PHP
  • How to guide
    • Builders
      • Root Builder
      • Subclass Builders
    • How to use Sequential model
      • Sequential model
      • Specifying the input shape
      • Compilation
      • Training
      • Survey
      • Prediction
    • How to create a custom model
      • Custom model
      • Compilation
      • Training
      • Survey
      • Prediction
    • Automatic Differentiation
      • Automatic Differentiation and Gradients
      • Variables
      • Functions
      • Gradient Calculation
      • Model training
      • Compiling the computational graph
  • API reference

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