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Machine Learning Basic Class -2



In this guide we trains a neural network model to classify images of clothing, like sneakers and shirts. Which is available in the Fashion MNIST Data set :- (https://github.com/zalandoresearch/fa…) which contains 70,000 grayscale images in 10 categories. The images show individual articles of clothing at low resolution (28 by 28 pixels).
Here we have learn:-
1) Build the Model
2) Setup the Layers
3) Compile the Model
4) Train the Model
5) Evaluate Accuracy
6) Make Predictions
We have used colab notebook you can visit the link to access the notebook:- https://colab.research.google.com

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