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.
Overview
Syllabus
Recap
Masking
Input compatibility
Masks
Dynamic Layers
Training Inference
Callbacks
Losses metrics
Use cases
Build
Success model
Loops
Taught by
TensorFlow
