PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem-from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network.

Topics include:

Training a network
Making predictions
Working with classes and tensors
Working with loss, autograd, and optimizers
Troubleshooting a PyTorch network
CPU/GPU usage

Citación :

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