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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