How does a neural network learn?

1. 1Build a simple neural network from scratch using basic math operations
2. 2Run the neural network by hand to understand its components and how they interact
3. 3Configure the network's parameters to optimize its learning process
4. 4Test the network's performance using a sample dataset
5. 5Apply the backpropagation algorithm to update the network's weights and biases

Machine learning engineers and data scientists can benefit from understanding how neural networks learn to improve their model's performance

💡 Neural networks learn through iterative updates of their weights and biases using backpropagation

🤖 Learn how neural networks learn through hands-on building and testing #MachineLearning #NeuralNetworks