Wrote a neural network that uses fundamental DL algorithms to identify handwritten digits from MNIST dataset.
Much of the code I've written is inspired from Chapter 1 of the book I used to study Deep Learning: Michael Nielson's Neural Networks and Deep Learning .
I borrowed the dataset of handwritten images from MNIST website: http://yann.lecun.com/exdb/mnist/
The classifier works as a Jupyter notebook in classifier.ipynb file.
You can find the official code in the official repository of the book, here.