This project classifies the type of cloth from the given image. The model is trained using the Fashion-MNIST data set.
The main features of the project are:
- It analyses different layer Neural-Networks for the models and choses the most optimal model.
- After choosing the structure, model optimized by checking the accuracy for different learning rates (with exponential decay)
- The we try to use different optimizers for the model and see how they perform.
- All the analysis is done by using line plots.