Deep Learning News #2, Feb 6 2021 @SebastianRaschka
Deep Learning News #2, Feb 6 2021  @SebastianRaschka
Uploaded February 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Link to resources mentioned in the video:

CMU Researchers Explore ‘Crazy Idea’ of Automating AI Paper Reviews: syncedreview.com/2021/02/04/cmu-researchers-explore-crazy-idea-of-automating-ai-paper-reviews

Code: github.com/neulab/ReviewAdvisor
Paper: arxiv.org/pdf/2102.00176.pdf

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DALL-E: a version of a 12-billion param GPT-3
wired.com/story/ai-go-art-steering-self-driving-car
Original blog article (Jan 5): openai.com/blog/dall-e

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CLIP: Connecting Text and Images
openai.com/blog/clip

Paper: cdn.openai.com/papers/Learning_Transferable_Visual_Models_From_Natural_Language_Supervision.pdf
Code: github.com/openai/CLIP

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GPT-Neo: eleuther.ai/projects/gpt-neo

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Where Programming, Ops, AI, and the Cloud are Headed in 2021
oreilly.com/radar/where-programming-ops-ai-and-the-cloud-are-headed-in-2021

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Teaching AI to manipulate objects using visual demos
ai.facebook.com/blog/teaching-ai-to-manipulate-objects-using-visual-demos

Code: github.com/facebookresearch/LearningToLearn

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Initialization is critical for preserving global data structure in both t-SNE and UMAP
Article: nature.com/articles/s41587-020-00809-z

github.com/scikit-learn/scikit-learn/issues/18018
Deep Learning News #2, Feb 6 2021L3.4 Perceptron in Python using NumPy and PyTorchDeep Learning News #1, Jan 27 2021L16.1 Dimensionality ReductionL17.0 Intro to Variational Autoencoders   Lecture OverviewL5.0 Gradient Descent   Lecture Overview13.4.2 Feature Permutation Importance (L13: Feature Selection)L10.0 Regularization Methods for Neural Networks   Lecture OverviewL6.3 Automatic Differentiation in PyTorch   Code ExampleL14.3: Architecture OverviewDeep Learning News #7 Mar 13 2021L4.5 A Fully Connected (Linear) Layer in PyTorch
Sebastian Raschka |

Deep Learning News #2, Feb 6 2021

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