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Towards Understanding Deep Learning via Statistical Physics

Description:

Deep neural networks have achieved remarkable success in the past decade on tasks that were out of reach prior to the era of deep learning. Amongst the myriad reasons for these successes are powerful computational resources, large datasets, new optimization algorithms, and modern architecture designs. Most of the reasons are...

Keyword:

Statistical Physics, Deep Learning, and Machine Learning

Subject:

Statistical physics

Creator:

Wei, Mingwei

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_777448 and http://dissertations.umi.com/northwestern:15367
Nonequilibrium Dynamics of Soft Materials

Description:

Soft materials such as colloids and polymers often exhibit a variety of mesoscopic structures that are governed merely by weak physical interactions. Due to these intermediate structures, they can be easily taken out of thermal equilibrium by introducing external stimuli such as a shear flow and electromagnetic fields. This thesis...

Keyword:

Phase transition, Nonequilibrium dynamics, Coarse-grained simulations, Self-assembly, Soft matter, and Machine Learning

Subject:

Materials Science, Computational physics, and Statistical physics

Creator:

Han, Ming

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2018-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14411 and etdadmin_upload_618073

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