April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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What you need for this book
All the examples have been implemented using Python version 2.7 (and 3.5) on an Ubuntu Linux 64 bit including the TensorFlow library version 1.0.1. However, all the source codes that are shown in the book are Python 2.7 compatible. Further, source codes for Python 3.5 compatible can be downloaded from the Packt repository. Source codes for Python 3.5+ compatible can be downloaded from the Packt repository.
You will also need the following Python modules (preferably the latest version):
- Pip
- Bazel
- Matplotlib
- NumPy
- Pandas
- mnist_data
For chapters 8, 9 and 10, you will need the following frameworks too:
- Keras
- XLA
- Pretty Tensor
- TFLearn
- OpenAI gym
Most importantly, GPU-enabled version of TensorFlow has several requirements ...
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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.