Mastering Backpropagation
Backpropagation is a fundamental concept in modern machine learning that you need to understand deeply.
In simple terms, backpropagation helps in minimizing the cost function by updating the weights of the network. It is vital in training multi-layered feedforward neural networks.
Key Steps in Backpropagation:
- Forward propagation to calculate the output.
- Computing the cost (or error).
- Backward propagation to find the derivative of the cost with respect to each weight.
- Updating the weights to minimize the cost function.
Learning resources:
Quiz Yourself!
Need more details on backpropagation? Check out our detailed guide!