February 2018
Intermediate to advanced
272 pages
8h 42m
English
Content preview from Machine Learning with TensorFlowBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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List of Listings
Chapter 2. TensorFlow essentials
Listing 2.1. Computing the inner product of two vectors without using a library
Listing 2.2. Computing the inner product using NumPy
Listing 2.3. Different ways to represent tensors
Listing 2.5. Using the negation operator
Listing 2.7. Using the interactive session mode
Listing 2.8. Logging a session
Listing 2.10. Saving variables
Listing 2.11. Loading variables
Listing 2.12. Defining the average update operator
Listing 2.13. Running iterations of the exponential average algorithm
Listing 2.14. Filling in missing code to complete the exponential average algorithm
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