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Practical Convolutional Neural Networks
book

Practical Convolutional Neural Networks

by Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari
February 2018
Intermediate to advanced
218 pages
5h 31m
English
Packt Publishing
Content preview from Practical Convolutional Neural Networks

Retrieving training and test data

The MNIST dataset already comprises both training and test data. There are 60,000 data points of training data and 10,000 points of test data. If you do not have the data file locally at the '~/.keras/datasets/' + path, it can be downloaded at this location.

Each MNIST data point has:

  • An image of a handwritten digit
  • A corresponding label that is a number from 0-9 to help identify the image

The images will be called, and will be the input to our neural network, X; their corresponding labels are y.

We want our labels as one-hot vectors. One-hot vectors are vectors of many zeros and one. It's easiest to see this in an example. The number 0 is represented as [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], and 4 is represented ...

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Publisher Resources

ISBN: 9781788392303