I have tried to implement a Generic FFNN with Back Propagation for a multi-class classification problem.
I am facing value error while running the function. I am unable to understand where I am doing wrong in the function. Please check the code and help me get through this. I have understood how the weights, bias and input data are vectorized and implemented the same.
ValueError: Input contains NaN, infinity or a value too large for dtype(‘float64’).
But the input does not have NaN or infinity values. The input is same make_blobs input.
I have posted the github code link below:
Thanks and Regards,
Sunag R A.