Designing High-performance ML Systems
Designing High-performance ML Systems#
[Video] - Introduction - Dec 13, 2022
[Video] - Training - Dec 13, 2022
[Video] - Predictions - Dec 13, 2022
[Video] - Why distributed training is needed - Dec 13, 2022
[Video] - Distributed training architectures - Dec 13, 2022
[Video] - TensorFlow distributed training strategies - Dec 13, 2022
[Video] - Mirrored strategy - Dec 13, 2022
[Video] - Multi-worker mirrored strategy - Dec 13, 2022
[Video] - TPU strategy - Dec 13, 2022
[Video] - Parameter server strategy - Dec 13, 2022
[Video] - Lab Introduction: Distributed Training with Keras - Dec 13, 2022
[Lab] - Distributed Training with Keras
[Video] - Lab Introduction: Distributed Training using GPUs on Cloud AI Platform - Dec 13, 2022
[Lab] - Distributed Training using GPUs on Cloud AI Platform
[Video] - Training on large datasets with tf.data API - Dec 13, 2022
[Video] - Lab Introduction: TPU-speed Data Pipelines - Dec 13, 2022
[Lab] - TPU Speed Data Pipelines
[Video] - Inference - Dec 13, 2022