L13.6 CNNs & Backpropagation @SebastianRaschka
L13.6 CNNs & Backpropagation @SebastianRaschka
Uploaded March 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books
Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L13_intro-cnn__slides.pdf
L13.6 CNNs & BackpropagationL18.1: The Main Idea Behind GANsL9.2 Nonlinear Activation FunctionsL6.4 Training ADALINE with PyTorch Code ExampleL13.2 Challenges of Image ClassificationDeep Learning News #6, Mar 7 2021L19.4.2 Self-Attention and Scaled Dot-Product AttentionL15.4 Backpropagation Through Time Overview13.4.4 Sequential Feature Selection (L13: Feature Selection)L8.0 Logistic Regression Lecture OverviewL14.0: Convolutional Neural Networks Architectures Lecture OverviewL19.5.2.6 BART: Combining Bidirectional and Auto-Regressive Transformers
Sebastian Raschka |

L13.6 CNNs & Backpropagation

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