L9.5.2 Custom DataLoaders in PyTorch  Code Example @SebastianRaschka
L9.5.2 Custom DataLoaders in PyTorch  Code Example  @SebastianRaschka
Uploaded March 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L09_mlp__slides.pdf

Link to the code: github.com/rasbt/stat453-deep-learning-ss21/tree/main/L09/code/custom-dataloader

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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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L9.5.2 Custom DataLoaders in PyTorch  Code Example13.1 The Different Categories of Feature Selection (L13: Feature Selection)L13.0 Introduction to Convolutional Networks   Lecture OverviewL19.5.2.1 Some Popular Transformer Models: BERT, GPT, and BART   OverviewL5.7 Training an Adaptive Linear Neuron (Adaline)L19.4.1 Using Attention Without the RNN   A Basic Form of Self-AttentionL8.4 Logits and Cross EntropyManaging Sources of Randomness When Training Deep Neural NetworksL16.3 Convolutional Autoencoders & Transposed ConvolutionsLLMs: A Journey Through Time and ArchitectureL6.0 Automatic Differentiation in PyTorch   Lecture OverviewL9.0 Multilayer Perceptrons   Lecture Overview
Sebastian Raschka |

L9.5.2 Custom DataLoaders in PyTorch --Code Example

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