July 2020
Intermediate to advanced
852 pages
25h 44m
German
book
Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
by Aurélien Géron
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KAPITEL 12
Eigene Modelle und Training mit TensorFlow
Bisher haben wir nur die High-Level-API tf.keras von TensorFlow genutzt, aber damit sind wir schon ziemlich weit gekommen: Wir haben neuronale Netze unterschiedlicher Architektur gebaut – unter anderem Regressions- und Klassifikationsnetze, Wide-&-Deep-Netze und selbstnormalisierende Netze –, alle möglichen Techniken angewendet, wie zum Beispiel Batchnormalisierung, Drop-out und Lernraten-Schedules. Tatsächlich werden Sie für 95% der Anwendungsfälle, mit denen Sie zu tun haben, nichts anderes als tf.keras benötigen (und tf.data, siehe Kapitel 13). Aber jetzt ist es an der Zeit, tiefer in TensorFlow einzusteigen und sich dessen Low-Level-Python-API (https://homl.info/tf2api) anzuschauen. Das ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.