March 2018
Intermediate to advanced
272 pages
7h 53m
English
Content preview from Deep Learning Quick Reference
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What is TensorFlow?
TensorFlow is a library that can be used to quickly build deep neural networks. In TensorFlow, the mathematical operations that we've covered thus far are expressed as nodes. The edges between these nodes are tensors, or multidimensional data arrays. TensorFlow can, given a neural network defined as a graph and a loss function, automatically compute gradients for the network and optimize the graph to minimize the loss function.
TensorFlow was released as an open source project by Google in 2015. Since then it has gained a very large following and enjoys a large user community. While TensorFlow provides APIs in Java, C++, Go, and Python, we will only be covering the Python API. The Python API is used in this book because ...
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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.