Deep Learning News #10, Apr 3 2021 @SebastianRaschka
Deep Learning News #10, Apr 3 2021  @SebastianRaschka
Uploaded April 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Topics covered in this video:

Bias in DL models for evaluating interviewees: web.br.de/interaktiv/ki-bewerbung/en

An Investigation of Critical Issues in Bias Mitigation Techniques
- Paper: arxiv.org/abs/2104.00170
- Code and dataset: github.com/erobic/bias-mitigators

EfficientNet V1: arxiv.org/abs/1905.11946

EfficientNet V2: arxiv.org/abs/2104.00298

MADGRAD optimizer: arxiv.org/abs/2101.11075

ML tracking tools: dagshub.com/blog/how-to-compare-ml-experiment-tracking-tools-to-fit-your-data-science-workflow
Deep Learning News #10, Apr 3 2021L17.6 A Variational Autoencoder for Face Images in PyTorch   Code ExampleL12.2 Learning Rate Schedulers in PyTorchL5.4 (Optional) Calculus Refresher I: DerivativesL19.2.2 Implementing a Character RNN in PyTorch  Code ExampleHow Claudes Text Watermarking WorksDesigning Generative Adversarial Networks for Privacy-enhanced Face Recognition (Conference rec.)L2.3 The Origins of Deep LearningL19.5.1 The Transformer ArchitectureL11.4 Why BatchNorm WorksL10.4 L2 Regularization for Neural NetsL13.9.2 Saving and Loading Models in PyTorch
Sebastian Raschka |

Deep Learning News #10, Apr 3 2021

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