codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"

Last update: Dec 02, 2022

Overview

Eigenlearning

This repo contains code for replicating the experiments of the paper A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks. The .py files provide a general codebase for generating synthetic datasets, loading image datasets, and testing the performance of kernel regression and finite nets learning functions on these domains. The .ipynb files in the experiments directory run selected experiments and generate the associated figures.

As of Spring 2022, this repo is under active development. If you discover any bugs or want to request any changes, let us know!

Owner

Jamie Simon

Berkeley physics PhD student aiming to build fundamental understanding of deep learning

GitHub Repository https://arxiv.org/abs/2110.03922

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codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"

Related tags

Overview

Eigenlearning

Owner

Jamie Simon

Face and Pose detector that emits MQTT events when a face or human body is detected and not detected.

Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

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