Understanding Neural Networks and Frameworks

SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.

This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

• About the PyTorch library [03:29]

• Why PyTorch became so popular [25:24]

• How to increase accuracy and efficiency in PyTorch [31:49]

• How to utilize transfer learning [35:44]

• Why real-world projects are essential to data scientists [41:10]

• About Datablooz [46:49]

Additional materials: www.superdatascience.com/819