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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Welcome

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Last updated 6 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.

ncxlib is available for installation through the Python Package Index pip install ncxlib

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⚡
ncxlib pypi

Getting Started

Create your Neural Network

Documentation

API Documentation