Trivially Scale PyTorch on AWS. Run PyTorch workloads on AWS with zero code changes. PyTorch is an amazing framework for building neural networks. It’s easy to get started and get value very quickly. I’ll show you how to run ANY PyTorch code on the cloud without making any code changes.
PyTorch is an amazing framework for building neural networks. It’s easy to get started and get value very quickly. But for realistic research or production use-cases, your laptop or local server won’t do.
In this tutorial, I’ll show you how to run ANY PyTorch code on the cloud without making any code changes.
For this tutorial I’m going to pick the dcgan from the PyTorch examples repository.
This folder has 3 files, main.py and a requirements.txt.
The model is a simple Deep Convolutional GAN, however the model doesn’t really matter as long as the code doesn’t crash.
This article will simply explain the concept which will help you understand the difference between Machine Learning and Deep Learning.
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