An ANN is trained using PyTorch to classify Fashion MNIST images. The process includes loading image data from a CSV, preprocessing it, building the model, training with labeled data, and evaluating accuracy on test data.
-
Notifications
You must be signed in to change notification settings - Fork 0
An ANN is trained using PyTorch to classify Fashion MNIST images. The process includes loading image data from a CSV, preprocessing it, building the model, training with labeled data, and evaluating accuracy on test data. and new add GPU to all data if run then want GPU in system
waghmareaniket/Pytorch-using-create-ANN-model-on-image-data
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
An ANN is trained using PyTorch to classify Fashion MNIST images. The process includes loading image data from a CSV, preprocessing it, building the model, training with labeled data, and evaluating accuracy on test data. and new add GPU to all data if run then want GPU in system
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published