Completed
PyTorch Lecture 04: Back-propagation and Autograd
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
PyTorch Zero to All
Automatically move to the next video in the Classroom when playback concludes
- 1 PyTorch Lecture 01: Overview
- 2 PyTorch Lecture 02: Linear Model
- 3 PyTorch Lecture 03: Gradient Descent
- 4 PyTorch Lecture 04: Back-propagation and Autograd
- 5 PyTorch Lecture 05: Linear Regression in the PyTorch way
- 6 PyTorch Lecture 06: Logistic Regression
- 7 PyTorch Lecture 07: Wide and Deep
- 8 PyTorch Lecture 08: PyTorch DataLoader
- 9 PyTorch Lecture 09: Softmax Classifier
- 10 PyTorch Lecture 10: Basic CNN
- 11 PyTorch Lecture 11: Advanced CNN
- 12 PyTorch Lecture 12: RNN1 - Basics
- 13 PyTorch Lecture 13: RNN 2 - Classification
- 14 Lecture 99: NSML: A Machine Learning Platform That Enables You to Focus on Your Models
