pramishp / neural_network_in_c

Artificial Neural Network in C

Fitting XOR function

A supervised neural network can be presented as a black box learn and predict as following:

Being supervised problem, it requires labelled data.

Our goal is to fit XOR function

This is done in 2 steps:

1. Forward propagation

2. Backward propagation

Initially, the error in the networks were high

Step 50, Error: 0.7563

After, 1000 iterations:

Step 1000, Error: 0.0432

Hence, the network was improving during each iteration by adjusting the weights calculated using loss function.

Overall process can be summarized as:

Team Members: Roll No:

1. Pramish Poudel 076bct047
2. Prakash Chaulagain 076bct045
3. Bikal Devkota 076bct0
4. Denish Shrestha 076bct0