October 2024
Intermediate to advanced
532 pages
14h 38m
German
Content preview from Deep Learning
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
Kapitel 3. Grundlagen von Deep Networks
Diese Arbeit wurde mithilfe von KI übersetzt. Wir freuen uns über dein Feedback und deine Kommentare: translation-feedback@oreilly.com
Hier musst du so schnell laufen, wie du kannst, um an der gleichen Stelle zu bleiben. Wenn du woanders hinwillst, musst du mindestens doppelt so schnell laufen!
Die Rote Königin, Durch den Spiegel
Definieren von Deep Learning
In Kapitel 2 haben wir die Grundlagen des maschinellen Lernens und der neuronalen Netze dargelegt. In diesem Kapitel bauen wir auf diesen Grundlagen auf und vermitteln dir die Kernkonzepte von tiefen Netzen. Das wird dir helfen zu verstehen, was in den verschiedenen Netzwerkarchitekturen vor sich geht, wenn wir in Kapitel 4 zu den spezifischen Architekturen und in Kapitel 5 zu den praktischen Beispielen übergehen. Beginnen wir damit, unsere Definitionen von Deep Learning und Deep Networks zu wiederholen.
Was ist Deep Learning?
Unter haben wir unsere Definition von Deep Learning aus Kapitel 1 wieder aufgegriffen. Die Facetten, die Deep Learning-Netzwerke im Allgemeinen von "kanonischen" mehrschichtigen Feed-Forward-Netzwerken unterscheiden, sind folgende:
- Mehr Neuronen als bisherige Netzwerke
- Komplexere Möglichkeiten zur Verbindung von Schichten
- "Kambrische Explosion" der Rechenleistung zur Ausbildung
- Automatische Merkmalsextraktion
Wenn wir von "mehr Neuronen" sprechen, meinen wir, dass die Anzahl der Neuronen im Laufe der Jahre gestiegen ist, um komplexere Modelle auszudrücken. ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.