L18.2: The GAN Objective @SebastianRaschka
L18.2: The GAN Objective  @SebastianRaschka
Uploaded April 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L18_gan__slides.pdf

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This video is part of my Introduction of Deep Learning course.

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A handy overview page with links to the materials: sebastianraschka.com/blog/2021/dl-course.html

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L18.2: The GAN Objective13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)L13.9.3 AlexNet in PyTorchL11.7 Weight Initialization in PyTorch   Code ExampleL8.1 Logistic Regression as a Single-Layer Neural NetworkThe Three Elements of PyTorchL6.2 Understanding Automatic Differentiation via Computation GraphsL17.3 The Log-Var TrickL15.0: Introduction to Recurrent Neural Networks   Lecture OverviewL10.2 Data Augmentation in PyTorchL14.3.2.1 ResNet OverviewBuilding LLMs from the Ground Up: A 3-hour Coding Workshop
Sebastian Raschka |

L18.2: The GAN Objective

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