November 2017
Intermediate to advanced
274 pages
6h 16m
English
Content preview from Neural Network Programming with TensorFlow
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Avoiding overfitting in neural networks
Let's understand the constituents of overfitting and how to avoid it in neural networks. Nitesh Srivastava, Geoffrey Hinton, et al. published a paper, https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf, in 2014, which shows cases on how to avoid overfitting.
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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.