This repo is to track my progress in learning about machine learning.
These files are different implementations/ways to tackle the MNIST dataset with Neural networks.
- LowlevelNumpy is a manual implementation of a deep NN using pandas and Numpy
- LowlevelTF is a reimplementation of LowlevelNumpy using low level tensorflow
Next steps:
- Convolutional NN implementation
- Higher level TF library implementation (why are there 10 of them?)