Tags: Amazon SageMaker, Artificial Intelligence, cloud platforms, Deep Learning, Essential, frameworks, Google Cloud, Jonathan Fernandes, Machine Learning, Programming Languages, Python, Python (Programming Language), PyTorch, tensors, Training, troubleshooting
Course by: Jonathan Fernandes
Course Info
- Duration: 56m 3s
- Skill Level: Intermediate
- Released: October 3, 2019
- Viewers: 621
Course details
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.
Instructor
Jonathan Fernandes
Data Scientist and Machine Learning/AI consultant at DXC Technology
621 Viewers watched this course
Skills covered in this course
Machine Learning Python (Programming Language)
Size: 241MB