The TensorFlow library has come a long way from its first appearance. Especially in the last year, many more features have become available that can make the life of researchers a lot easier. Things like eager execution and Keras allow scientists to test and experiment much faster and debug models in ways that were not possible before. It is essential for any researcher to know those methods and know when it makes sense to use them. In this chapter, we will look at few of them: eager execution, GPU acceleration, Keras, how to freeze parts of a network ...
© Umberto Michelucci 2019
U. MichelucciAdvanced Applied Deep Learning https://doi.org/10.1007/978-1-4842-4976-5_22. TensorFlow: Advanced Topics
Umberto Michelucci1
(1)
TOELT LLC, Dübendorf, Switzerland
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