June 2024
Intermediate to advanced
252 pages
6h 39m
German
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Inhalt
Leicht für mich – schwer für dich
Eine einfache Vorhersagemaschine
Klassifizieren unterscheidet sich nicht sehr vom Vorhersagen
Einen einfachen Klassifizierer trainieren
Manchmal ist ein Klassifizierer nicht genug
Neuronen – die Rechenmaschinen der Natur
Signalen durch ein neuronales Netz folgen
Matrizenmultiplikation ist nützlich – ehrlich!
Beispiel: Ein dreischichtiges Netz mit Matrizenmultiplikation
Gewichte von mehr als einem Knoten lernen
Fehler von mehreren Ausgabeknoten zurückführen
Fehler auf mehrere Schichten zurückführen
Backpropagierung von Fehlern mit Matrizenmultiplikation
Wie aktualisieren wir eigentlich die Gewichte?
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