I tried to build a neural network for working on IRIS dataset using only numpy after reading an article (link: https://iamtrask.github.io/2015/07/12/basic-python-network/).
I tried to search the internet but everyone was using ml libraries and found no solution using just numpy. I tried to add different hidden layers to my feed forward neural network still it wasn't converging. I tried to use backpropagation. I used sigmoid and also relu neither of which was successful.
Can someone please give me the code which will work on IRIS dataset and built only using feed forward neural networks and numpy as the only library or if it is not possible to built such a thing with these constraints then please let me know what goes wrong with these constraints.
Also tell me will it be possible to create a neural network to predict values of a matrix multiplication i.e. if we have A * B = C with matrix A as input and C as output, can we acheive substantial amount of accuracy with feed forward neural networks here?.