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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

Fußnoten

Vorwort

1Geoffrey Hinton et al., »A Fast Learning Algorithm for Deep Belief Nets«, Neural Computation 18 (2006): 1527–1554.

2Obwohl die Konvolutionsnetze von Yann Lecun bei der Bilderkennung seit den 1990ern gut funktioniert hatten, auch wenn sie nicht allgemein anwendbar waren.

Kapitel 1 Die Machine-Learning-Umgebung

1Wissenswert: Dieser seltsam anmutende Begriff wurde von Francis Galton in die Statistik eingeführt, der beobachtete, dass die Kinder hochgewachsener Eltern zu einer geringeren Körpergröße als ihre Eltern neigen. Da die Kinder kleiner waren, nannte er dies Regression zum Mittelwert. Dieser Name wurde anschließend auch für seine Methode zur Analyse von Korrelationen zwischen Variablen verwendet.

2Einige neuronale Netzwerkarchitekturen ...

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Publisher Resources

ISBN: 9781098124588