How ishan7390/nn_fashmnist works
This small Fashion MNIST script loads labeled images, normalizes pixel values, trains a single-hidden-layer classifier, predicts labels, and displays five test images with actual and predicted classes. The model and workflow are all implemented in 05.py; the dataset is loaded through Keras. The graph reflects the sampled script, including its test-image assignment from the training images. There are no separate repository modules.
Main entry points: 05.py Training workflow
Components 5
Other components
- Fashion MNIST
- Training workflow
05.py - Image normalization
05.py - Neural classifier
05.py - Prediction plots
05.py
Connections 6
- Training workflow → Fashion MNIST: loads images
- Training workflow → Image normalization: normalizes pixels
- Training workflow → Neural classifier: trains and predicts
- Training workflow → Prediction plots: displays results
- Image normalization → Neural classifier: provides images
- Neural classifier → Prediction plots: provides predictions