ncxlib
  • ⚡Welcome
  • Getting Started
    • Quickstart
    • API Documentation
      • Overview
        • Neural Network
          • _compile
          • add_layer
          • forward_propagate_all
          • forward_propagate_all_no_save
          • back_propagation
          • train
          • predict
          • evaluate
          • save_model
          • load_model
        • Activation
          • ReLU
          • LeakyReLU
          • Sigmoid
          • Softmax
          • Tanh
        • Layer
          • InputLayer
          • FullyConnectedLayer
          • OutputLayer
        • LossFunction
          • MeanSquaredError
          • BinaryCrossEntropy
          • CategoricalCrossEntropy
        • Optimizer
          • SGD
          • SGDMomentum
          • RMSProp
          • Adam
        • Initializer
          • HeNormal
          • Zero
        • PreProcessor
          • OneHotEncoder
          • MinMaxScaler
          • Scaler
          • ImageRescaler
          • ImageGrayscaler
        • DataLoader
          • CSVDataLoader
          • ImageDataLoader
        • Generators
          • random_array
          • integer_array
          • generate_training_data
        • Utils
          • train_test_split
          • k_fold_cross_validation
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API Documentation

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Last updated 7 months ago

ncxlib is a lightweight and easy-to-use neural network library built in Python. It provides a simple API for constructing and training neural networks, along with tools for data preprocessing and generation.

nxclib is available on the Python Package Index pip install ncxlib

for more information on the latest package. Visit:

Pypi