August 2019
Intermediate to advanced
202 pages
5h 9m
English
Content preview from What's New in TensorFlow 2.0
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Questions
Should I use tf.keras APIs or TF's low- and mid-level APIs?
Check the chapter and try finding the answer to this.
When should I use tf.keras Sequential and Functional APIs? Why do I need model subclassing?
In general, for simpler models, tf.keras Sequential should be used. Most of models can be written using Sequential APIs. However, for those models that require multiple inputs and outputs and some specific connections, such as residual, Functional APIs should be used. For really customized models, you can use model subclassing.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.