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Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)
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Classroom Contents
Inside TensorFlow
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- 1 Inside TensorFlow: Parameter server training
- 2 Inside TensorFlow: TF NumPy
- 3 Inside TensorFlow: Building ML infra
- 4 Inside TensorFlow: Quantization aware training
- 5 Inside TensorFlow: New TF Lite Converter
- 6 Inside TensorFlow: TF Debugging
- 7 Inside TensorFlow: TF-Agents
- 8 Inside TensorFlow: tf.data + tf.distribute
- 9 Inside TensorFlow: TF Filesystems
- 10 Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)
- 11 Inside TensorFlow: Eager execution runtime
- 12 Inside TensorFlow: Graph rewriting (Macros, not functions)
- 13 Inside TensorFlow: Control Flow
- 14 Inside TensorFlow: tf.data - TF Input Pipeline
- 15 Inside TensorFlow: Summaries and TensorBoard
- 16 Inside TensorFlow: Resources and Variants
- 17 Inside TensorFlow: Functions, not sessions
- 18 Inside TensorFlow: tf.distribute.Strategy
- 19 Inside TensorFlow: tf.Keras (Part 1)
- 20 Inside TensorFlow: TensorFlow Lite
- 21 Inside TensorFlow: tf.Keras (part 2)
- 22 Inside TensorFlow: AutoGraph
- 23 Inside TensorFlow: MLIR for TF developers
