August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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TensorFlow API levels
Before we get stuck into writing TensorFlow code, it is important to be aware of the different levels of API abstraction offered by TensorFlow in Python. This way, we can understand what is available to us when we write our code, and also we can choose the right functions or operations for the job. A lot of the time, there is little need to rewrite from scratch things that are already available for us to use in TensorFlow.
TensorFlow offers three layers of API abstraction to help write your code, and these can be visualized in the following diagram:
At the lowest level, you have the basic TensorFlow ops such as tf.nn.conv2d ...
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