1. Convolutional Neural Networks
- Author
-
David Paper
- Subjects
Computer science ,business.industry ,Computer Science::Neural and Evolutionary Computation ,Pattern recognition ,Space (mathematics) ,Convolutional neural network ,ComputingMethodologies_PATTERNRECOGNITION ,Simple (abstract algebra) ,Computer Science::Computer Vision and Pattern Recognition ,Feedforward neural network ,Pixel matrix ,Artificial intelligence ,business ,Training performance ,MNIST database - Abstract
With feedforward neural networks, we achieved good training performance with MNIST and Fashion-MNIST datasets. But images in these datasets are simple and centered within the input space that contains them. That is, they are centered within the pixel matrix that holds them. Input space is all the possible inputs to a model.
- Published
- 2021