CNN
Convolutional neural network, sharing weights across positions to exploit spatial structure.
Visão geral
A convolutional neural network applies the same small filter at every position of an input, so it learns a pattern once and recognises it anywhere. It solves the parameter explosion that a fully connected layer would suffer on an image, where each pixel would need its own weight. It exists because locality and translation invariance are true of images and largely untrue of language, which is why vision and language ended up with different architectures.
Grafo de tecnologias
Como CNN se liga ao resto do stack.
Usa e depende de
- Neural Network concept Algorithms CNN based on Neural Network High ✓ source
Aplicado a
- Image Generation application Applications CNN used for Image Generation Medium ✓ source
Alternativas
Comparações
Comparações detalhadas com as alternativas acima.