- Add Jax backend
- Make pip installable package on PyPi
- Update the code for Keras 3 with PyTorch or Tensorflow backend
- Add a CSV logger to save the learning process in a text file
- Add a plot function to draw the learning parameters
- Setup the project to be published on pypi
- Original code with Keras and TensorFlow 1.10 with CUDA 9