Mindmap
backpropagation /Competitive learning

Inhalt der Mindmap
backpropagation /Competitive learning
artificial neural networks
- connectionist systems
- computational model
- connectionist systems
gradient descent
- first-order iterative optimization algorithm
unsupervised networks
- autoencoders
Example loss function
- Let {\displaystyle y,y'} {\displaystyle y,y'} be vectors in {\displaystyle \mathbb {R} ^{n}} \mathbb {R} ^{n}.
Algorithm
- Propagation
- Weight update
- Propagation
Derivation
is a form of unsupervised learning
Hebbian learning
Models and algorithms
- vector quantization
- self-organizing maps
- vector quantization
Architecture and implementation
- usually implemented with Neural Networks
Bilder und Dateien der Mindmap
Informationen
- Beschreibung
- Mindmap am backpropagation /Competitive learning, erstellt von Jun Carlo Balante am 25/03/2017.
- Erstellt von
- Jun Carlo Balante
- Aufrufe
- 0
- Bewertung

