Unterschiede

Hier werden die Unterschiede zwischen zwei Versionen angezeigt.

--- p:ki:machinelearning3 [2024/05/02 08:57] – Tscherter, Vincent
+++ p:ki:machinelearning3 [2024/07/30 21:24] (aktuell) – [3. Schrittweise dem Ziel entgegen] Oliver Baltisberger
@@ Zeile 29: / Zeile 29: @@
     * Der Wert der Steigung beschreibt, wie steil die Gerade ist.
     * Wenn die Gerade nach rechts unten ↘ geht, dann ist das Vorzeichen der Steigung negativ, wenn die Gerade nach rechts oben ↗ geht, dann ist das Vorzeichen positiv.
-  - Wie gross ist die Steigung beim Minimum (beim kleinsten Wert) der Funktion? {{gem/match?0=N4IgTgpg5hAeAOIBcIAUAGAPgOQK4Bt9MAtCMAewEoQAaEAM3wEMoBnZEASxAF8g#1a9be108e7ddb9ff}}
+  - Wie gross ist die Steigung beim Minimum (beim tiefsten Punkt) der Funktion? {{gem/match?0=N4IgTgpg5hAeAOIBcIAUAGAPgOQK4Bt9MAtCMAewEoQAaEAM3wEMoBnZEASxAF8g#1a9be108e7ddb9ff}}
   - Überlege dir, wie du mithilfe der Steigung das Minimum z.B. einer Fehlerfunktion finden kannst. Lese danach direkt nach diesem Auftrag weiter (dort findest du eine Antwort auf diese Frage).
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@@ Zeile 135: / Zeile 135: @@
 👉 Hier untersuchst du, wie das Gradientenverfahren bei komplexeren Fehlerfunktionen funktioniert.
-⚠️ Beim Gradientenverfahren wird d      ie Start-Gewicht-Einstellung $w[0]$ zufällig gewürfelt. In diesem Programm kannst du $w[0]$ durch Verschieben mit der Maus wählen.
+⚠️ Beim Gradientenverfahren wird die Start-Gewicht-Einstellung $w[0]$ zufällig gewürfelt. In diesem Programm kannst du $w[0]$ durch Verschieben mit der Maus wählen.
   - Starte das Gradientenverfahren, indem du eine Start-Gewicht-Einstellung $w[0]$ wählst und auf die Maustaste klickst. Es werden fünf Schritte des Gradientenverfahrens durchgeführt.\\ 💡 Mit einem Klick auf den Button ''▶Run'' kannst du das Programm neu starten.

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