April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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Classification of handwritten digits
Automatic recognition of handwritten digits is an important problem, which can be found in many practical applications. In this chapter, we will implement some feed-forward networks to address this problem.
To train and test the implemented models we use the MNIST database of handwritten digits.
The MNIST dataset is made of a training set of 60,000 examples, plus a test set of 10000 examples. An example of the data, as it is stored in the files of the examples, is shown in the following figure:
Example of data extracted from the MNIST database
The source images were originally in black and white, but later, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.