Instructions for getting TensorFlow and PyTorch running on NVIDIA's GeForce RTX 30 Series GPUs (Ampere), including RTX 3090, RTX 3080, and RTX 3070.
This tutorial explains the basics of TensorFlow 2.0 with image classification as the example. 1) Data pipeline with dataset API. 2) Train, evaluate, save and restore models with Keras. 3) Multiple-GPU with distributed strategy. 4) Customized training with callbacks.
Distributed training allows scaling up deep learning tasks so bigger models can be learned from more extensive data. In this tutorial, we will explain how to do distributed training across multiple nodes.
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