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 3 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

See more: ncxlib pypi

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⚡

Getting Started

Create your Neural Network

Documentation

API Documentation