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 backpropagation to update the weights and biases
4. 4Test the neural network with sample inputs and outputs
5. 5Compare the performance of the neural network with different activation functions

Machine learning engineers and data scientists can benefit from this tutorial to improve their understanding of neural networks and backpropagation

💡 Backpropagation is a key algorithm for training neural networks by minimizing the error between predicted and actual outputs

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