Simple Neural Network Layer Example

This project demonstrates a basic concept in deep learning: computing the output of a single neural network layer with three neurons. Each neuron has its own set of weights and biases, and they process the same input data.

Setup

setup private network

python -m venv neural_env

Code Overview

• Inputs: The fixed input values for the neural network.
• Weights and Biases: Each neuron has a unique set of weights and a bias.
• Output Calculation: The output for each neuron is computed as the weighted sum of inputs plus the bias.