Part 1 : (Training set -> trainPart1)
Part1.ipynb -> Jupyter Notebook file, model.png -> Pictorial representation of CNN Model built in part 1, part1.h5 -> The model built in Part1
Part 2 : (Training set -> 0 - 9 Datasets from trainPart1, Test set -> mnist datsets)
mnist.ipynb -> Jupyter Notebook file, model.png -> Pictorial representation of CNN Model built in part 2, part2.h5 -> The model built in Part 2
Part 3 : (Training set -> mnistTask, Test set -> mnist datsests, models -> part1.h5, part2.h5 )
accuracy-on-mnist-test-set.ipynb -> Jupyter Notebook file
Modules/ Libraries used -> Pandas, NumPy, Tensorflow & Keras, matplotlib, pydot.
Resources -> keras-tensorflow, Pandas documentations.