NeuralNetwork

This project demonstrates a simple feedforward neural network trained using backpropagation. Two examples are provided:

• bits.py: Converts binary input to its corresponding decimal representation.
• successive.py: Predicts the next number in a sequence.

bits.py

This neural network takes 2 bits as input and gives the output converted in decimal.

For example:

input (0b10): [1, 0]
output (2): [0, 0, 1, 0]

Neural Network Architecture:

Input Neurons	Hidden Layer 1	Output Neurons
2	4	4

successive.py

This neural network takes a number as input and returns the successive number as output. For example, with four numbers:

input (number 2): [0, 1, 0, 0]
output (number 3): [0, 0, 1, 0]

Neural Network Architecture:

Input Neurons	Hidden Layer 1	Output Neurons
6	6	6

Optimization Note

I wrote this implementation with a focus on readability and functionality, not optimization :)

Useful Resources

I wanted to list some of the youtube videos that helped me understand neural networks & backpropagation

• 3Brown1Blue's beautiful playlist ❤️
• Mahesh Huddar's blackpropagation solved example