Freya
is a deep learning framework built using numpy arrays. Is is just the code for this post organized as as library. I do not plan to keep adding new features.
- Linear layers.
- DOC with external references.
- Step-by-step examples written in jupyter notebook.
- Common activation functions such as Sigmoid, ReLU and Hyperbolic tangent.
- Simple code to provide a simpler approach to neural network understanding.
git clone https://github.com/Xylambda/Freya.git
pip install freya/.
git clone https://github.com/Xylambda/Freya.git
pip install -e -r requirements.txt freya/.
Freya
pretty much follows Keras
philosophy for building neural networks.
model = Model()
model.add(Linear(...))
model.add(ReLU(...))
model.add(Linear(...))
model.add(Sigmoid(...))
model.train(...)
model.predict(...)
You will find some use cases in examples
folders.