The repository contains the code for creating a simple neural network from python and numpy
- the project uses a spiral data generated by code
- there can be multiple classes so to calculate the loss , we have used categorical cross entropy
Below is the progess in the round 1 of training with a simple code and less optimization
For next round we added more layers and made the learning rate half each time after 4 epochs : to achieve accuracy of 95.9%
Here is the link to MNIST repo -> MNIST github