Building a Neural Network from Scratch Using Python

Introduction

Neural networks are a powerful machine learning tool that has been applied to a wide variety of tasks, from image recognition to natural language processing. In this article, I will share my experience building a simple neural network from scratch using just Python.

Implementing a Matrix-Based Backpropagation Algorithm

One of the key components of a neural network is the backpropagation algorithm, which is used to train the network by adjusting the weights of the connections between the neurons. In this article, we will implement a matrix-based backpropagation algorithm, which is more efficient than the traditional scalar-based approach.

Conclusion

In this article, I have shown how to build a simple neural network from scratch using Python. This is just a starting point, and there are many other things that you can do with neural networks. I encourage you to experiment with different architectures and algorithms to see what you can create.