Building a Simple Neural Network From Scratch in Python Using Backpropagation

1. 1Build a simple neural network architecture using Python
2. 2Implement the forward pass and calculate the output
3. 3Apply the backpropagation algorithm to update the weights and biases
4. 4Test the neural network with a sample dataset
5. 5Compare the results with expected outputs and refine the model as needed

Data scientists and machine learning engineers can benefit from this article to improve their understanding of neural networks and implement them in their projects

💡 Backpropagation is a key algorithm in training neural networks, allowing them to learn from data and improve their performance

Build a simple neural network from scratch in Python using backpropagation #NeuralNetworks #DeepLearning