PyTorch Essential Training Deep Learning

PyTorch Essential Training Deep Learning Free Download

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


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