PyTorch Essential Training: Deep Learning
PyTorch is quickly becoming one of the most popular deep learning frameworks, as well as a must-have skill in your AI toolkit. Its deep integration with Python, integration with top cloud platforms such as Amazon SageMaker and Google Cloud Platform, and computational graphs that can be defined on the fly have earned it praise from industry leaders.
Join Jonathan Fernandes as he delves into the fundamentals of deep learning with PyTorch in this course. Starting with a working image recognition model, he demonstrates how the various components fit and work together, from tensors, loss functions, and autograd to troubleshooting a PyTorch network. The course begins by covering the fundamentals of deep learning with PyTorch. Beginning with a working image recognition model, he demonstrates how the various components fit together and work together, from tensors, loss functions, and autograd to troubleshooting a PyTorch network.
The course includes
- Fashion MNIST and Neural Networks
- Working with Classes and Tensors
- Working with Loss, Autograd, and Optimizers
- Troubleshooting and CPU/GPU Usage
You can take PyTorch Essential Training: Deep Learning certification course on LinkedIn Learning.
Course rating : N/a
Duration: 1 h 33 m
Certificate: Certificate on completion
Enroll here: linkedin.com/learning/pytorch-essential-training-deep-learning
