MananKapila / Hand-Written-Digit-Recognition-ML

This project uses MNIST data set and uses artificial neural network to recognize hand written digits, this project uses tensor flow as backend and keras as frontend

Hand-Written-Digit-Recoginition

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Libraries used:

numpy

matplotlib

tensorflow as backend

keras as frontend

Data set used: MNIST(Modified National Institute of Standards and Technology database) dataset

Reinforcement learning used. Model build using Neural Network

Features:

• Step bt step explanation of how to train and build the model
• Proper visulisation of the data.
• Testing the model