Deep Learning for Physics Research
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(FIVE YEARS 27)

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9789811237454, 9789811237461

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BACK MATTER

Deep Learning for Physics Research ◽

10.1142/9789811237461_bmatter ◽

2021 ◽

pp. 297-327

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Deep Learning Basics

Deep Learning for Physics Research ◽

10.1142/9789811237461_others01 ◽

2021 ◽

pp. 1-1

Keyword(s):

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Domain adaptation, refinement, unfolding

Deep Learning for Physics Research ◽

10.1142/9789811237461_0019 ◽

2021 ◽

pp. 271-283

Keyword(s):

Domain Adaptation

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Beyond the scope of this textbook

Deep Learning for Physics Research ◽

10.1142/9789811237461_0021 ◽

2021 ◽

pp. 293-295

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Revisiting the terminology

Deep Learning for Physics Research ◽

10.1142/9789811237461_0006 ◽

2021 ◽

pp. 69-70

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Building blocks of neural networks

Deep Learning for Physics Research ◽

10.1142/9789811237461_0003 ◽

2021 ◽

pp. 23-31

Keyword(s):

Neural Networks ◽

Building Blocks

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Deep Learning Advanced Concepts

Deep Learning for Physics Research ◽

10.1142/9789811237461_others04 ◽

2021 ◽

pp. 215-215

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Scope of this textbook

Deep Learning for Physics Research ◽

10.1142/9789811237461_0001 ◽

2021 ◽

pp. 3-12

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Uncertainties and robustness

Deep Learning for Physics Research ◽

10.1142/9789811237461_0013 ◽

2021 ◽

pp. 185-193

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Optimization of network parameters

Deep Learning for Physics Research ◽

10.1142/9789811237461_0004 ◽

2021 ◽

pp. 33-51

Keyword(s):

Network Parameters

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