November 2017
Intermediate to advanced
274 pages
6h 16m
English
Content preview from Neural Network Programming with TensorFlow
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Summary
In this chapter, we built our first neural network, which was feedforward only, and used it for classification with the Iris dataset and later the NotMNIST dataset. You learned how various activation functions like affect the validation accuracy of the prediction.
In the next chapter, we will explore a convoluted neural network, which is more advanced and effective for an image dataset.
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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.