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Hierarchical Neural Networks Feature Extraction for LVCSR system

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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

Hierarchical Neural Networks Feature Extraction for LVCSR system

Graph Chatbot

Chattez avec Graph Search

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

Aggregating Spatial and Photometric Context for Photometric Stereo

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Data-driven statistical optimization of a groundwater monitoring network

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Dataset for '3D printing of customizable transient bioelectronics and sensors'

Data Champions Lunch Talks - Green Bytes: Data-Driven Approaches to EPFL Sustainability

Machine Learning for Modeling Stock Returns

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Data and scripts for the RaFSIP scheme

Aggregating Spatial and Photometric Context for Photometric Stereo

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

Data-driven statistical optimization of a groundwater monitoring network

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Dataset for '3D printing of customizable transient bioelectronics and sensors'

Data Champions Lunch Talks - Green Bytes: Data-Driven Approaches to EPFL Sustainability

Machine Learning for Modeling Stock Returns

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Data and scripts for the RaFSIP scheme