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Neural-Network-Library-From-Scratch

Note: This is not intended for professional use for obvious reasons and is just a fun personal project.
Also, do have a look at mnist-example.ipynb to see how to use it. Although, it's pretty intuitive and is quite similar to the beginner-friendly Keras's API

Supported Activation functions

  • Sigmoid
  • ReLu
  • Tanh

Under progress

  • Softmax

Supported Loss functions

  • Mean Squared Error

Under progress

  • Binary Cross Entropy

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