October 2017
Intermediate to advanced
330 pages
7h 7m
English
Content preview from Python Deep Learning Cookbook
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How to do it...
- First, we will show how to install TensorFlow from your terminal (make sure that you adjust the link to the TensorFlow wheel for your platform and Python version accordingly):
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp35-cp35m-linux_x86_64.whl
This will install the GPU-enabled version of TensorFlow and the correct dependencies.
- You can now import the TensorFlow library into your Python environment:
import tensorflow as tf
- To provide a dummy dataset, we will use numpy and the following code:
import numpy as npx_input = np.array([[1,2,3,4,5]])y_input = np.array([[10]])
- When defining a TensorFlow model, you cannot feed the data directly to your model. ...
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