L8.7.1 OneHot Encoding and Multi-category Cross Entropy @SebastianRaschka
L8.7.1 OneHot Encoding and Multi-category Cross Entropy  @SebastianRaschka
Uploaded February 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L08_logistic__slides.pdf
Code: github.com/rasbt/stat453-deep-learning-ss21/blob/main/L08/code/cross-entropy-pytorch.ipynb

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

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L8.7.1 OneHot Encoding and Multi-category Cross EntropyL4.4 Notational Conventions for Neural NetworksBuild an LLM from Scratch 7: Instruction FinetuningBuild an LLM from Scratch 6: Finetuning for ClassificationL8.7.2 OneHot Encoding and Multi-category Cross Entropy   Code ExampleL15.2 Sequence Modeling with RNNsL18.6: A DCGAN for Generating Face Images in PyTorch   Code ExampleL7.0 GPU resources & Google ColabScaling PyTorch Model Training With Minimal Code ChangesL8.5 Logistic Regression in PyTorch   Code ExampleL14.1: Convolutions and Padding13.0 Introduction to Feature Selection (L13: Feature Selection)
Sebastian Raschka |

L8.7.1 OneHot Encoding and Multi-category Cross Entropy

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