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Day 2 - MNIST Handwritten Digit Recognition

Avnish Yadav

27 Aug, 2018

Hello guys,

This is day 2 of my #100DayOfMLCode challenge. Today, I implemented the MNIST handwritten digit recognition task in Python using the Keras deep learning library.

I studied the following topics:-

How to load the MNIST dataset in Keras.
How to develop and evaluate a baseline neural network model for the MNIST problem.
How to implement and evaluate a simple Convolutional Neural Network for MNIST.
How to implement a close to state-of-the-art deep learning model for MNIST.

Let's talk about each part separately.

Loading the MNIST dataset in Keras

Output- (takes some time to show the output)

Baseline Model with Multi-Layer Perceptrons

Output-

Simple Convolutional Neural Network for MNIST

Output-

Github here

Thanks.
Happy Coding

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