AlexNet
University of TorontoImage classification
Developed by University of Toronto in 2012, AlexNet is a image classification model with 60000000.0 parameters.
About AlexNet
We trained a large, deep convolutional neural network to classify the 1.3 million high-resolution images in the LSVRC-2010 ImageNet training set into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rates of 39.7\% and
Details
- Provider
- University of Toronto
- Task
- Image classification
- Parameters
- 60000000.0
- Released
- 2012-09-30