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PyTorch Lecture 01: Overview
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Classroom Contents
PyTorch Zero to All
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- 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
