Used numpy to create Neural network to identify MNIST handwritted digits.
Here are some trials:
(Put it on light Mode to see the labels)
Configuration for the Below Trial trials:
Hidden Layers:1
Images Trained: 5000
Nodes in Hidden Layer: 100
Learn Rate: 0.01
Activation Function: Relu+SoftMax
Loss function: Cross Entropy
Batch Size:50
Configuration for the Below Trial trials:
Hidden Layers:1
Images Trained:5000
Nodes in Hidden Layer: 100
Learn Rate: 0.04
Activation Function: Relu+SoftMax
Loss function: Cross Entropy
Batch Size:50
Here are some resources that helped me.
https://www.youtube.com/watch?v=sIX_9n-1UbM
https://www.youtube.com/watch?v=hfMk-kjRv4c&t=629s