Numpy powered neural network library
Project description
sinnn
Sohiab Imran's Numpy Neural Network.
sinnn is a numpy powered low code neural network library.
Work in progress 🔨 . To do:
- Add Regularisation
- Add more Initialisers
- Add more Optimisers
Installation
pip install sinnn
Requirements: Numpy
Features
Support for a limited number of features is available as the library is still new.
Supported features are:
Layers: Dense, ReLU
Initialisers: Zeros, SmallRandom
Losses: MSE, CrossEntropy
Metrics: loss, accuracy
Optimisers: SGD, Momentum, AdaGrad
utils: sigmoid, softmax, one_hot, batches, save_model, load_model
Examples
Please refer to the examples directory for example deep learning problems solved using sinnn.
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