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rafi007akhtar/Digit-Classifier

Wrote a neural network that uses fundamental DL algorithms to identify handwritten digits from MNIST dataset.

Digit-Classifier

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.

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Jupyter Notebook88.9%Python11.1%

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Created September 19, 2018
Updated October 24, 2024
rafi007akhtar/Digit-Classifier | GitHunt