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Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
book

Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition

by Aurélien Géron
July 2020
Intermediate to advanced
852 pages
25h 44m
German
dpunkt
Content preview from Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition

Index

Symbole

χ2-Test siehe Chi-Quadrat-Test

-Norm 43

0-Norm 43

1- und ℓ2-Regularisierung 367

1-Norm 43, 139, 149, 362, 367

2-Norm 43, 138, 139, 149, 152, 367

k-Norm 43

1cycle Scheduling 364

A

A/B-Experimente 667

Abstimmverfahren unter Klassifikatoren 192

Achsenabschnitt 116

Actor-Critic-Algorithmus 626, 664

AdaBoost 202

AdaGrad 357

Adam-Optimierung 359, 361

Adaptive Instance Normalization (AdaIN) 608

adaptive Lernrate 358

adaptive Optimierung von Momenten 359

Additive Attention 555

Advantage Actor-Cricic (A2C) 664

Adversarial Learning 499

Adversarial Training 572

affine Transformationen 607

Affinität 239

Affinity Propagation 261

Agenten 612

agglomeratives Clustering 260

Ähnlichkeitsfunktion 161

Ähnlichkeitsmaß 19

AI Platform 680

Akaike-Informationskriterium ...

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Publisher Resources

ISBN: 9781098124588