Concept

Perceptron multicouche

Publications associées (170)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Perceptron multicouche

Graph Chatbot

Chattez avec Graph Search

Explainable Face Verification via Feature-Guided Gradient Backpropagation

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Robust NAS under adversarial training: benchmark, theory, and beyond

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

ReLU Neural Network Galerkin BEM

A new variable shape parameter strategy for RBF approximation using neural networks

The inductive bias of deep learning: Connecting weights and functions

Benign Overfitting in Deep Neural Networks under Lazy Training

A Neural-Network-Based Convex Regularizer for Inverse Problems

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Benign Overfitting in Deep Neural Networks under Lazy Training

The inductive bias of deep learning: Connecting weights and functions

Robust NAS under adversarial training: benchmark, theory, and beyond

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A new variable shape parameter strategy for RBF approximation using neural networks

ReLU Neural Network Galerkin BEM

A Neural-Network-Based Convex Regularizer for Inverse Problems