April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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Key strengths of TensorFlow
The following are the key strengths of TensorFlow:
- Flexible: This Flexibility is coming from TensorFlow's nature of being interpreted. Also, you can see it in the name that it uses a data flow programming mode. The way TensorFlow works, you give the program a graph then it tries to find a node in that graph that's ready to execute, subsequently, it fetches this node and runs it. After this sequence of operations, another set of nodes in the graph become ready to be executed. So TensorFlow does the same with them, fetches them and then executes them. This process of getting the nodes that are ready to be executed and running them is called the Interpreter Loop.
- Expressive: TensorFlow is dynamic as it has some pythonic ...
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