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1
Recap
2
Masking
3
Input compatibility
4
Masks
5
Dynamic Layers
6
Training Inference
7
Callbacks
8
Losses metrics
9
Use cases
10
Build
11
Success model
12
Loops
Description:
Dive deep into tf.Keras with TensorFlow team's internal training session, presented by Keras creator Francois Chollet. Explore advanced topics including masking, dynamic layers, training inference, callbacks, losses, metrics, and use cases. Learn how to build successful models and implement efficient loops in this 52-minute technical deep dive. Gain insider knowledge on TensorFlow's inner workings and enhance your understanding of Keras functionality.

Inside TensorFlow - tf.Keras

TensorFlow
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