The conversation between human and AI assistant.
How does backpropagation happen in a feed-forward neural network when there is nothing connecting the output to input?
Can you explain more about the loss function?
Sure, the loss function is a way to measure how well the network is performing. It calculates the difference between the predicted output and the actual output. During training, the weights are adjusted in a way that minimizes the loss function. Different types of loss functions can be used depending on the problem being solved. For example, for a classification problem, the cross-entropy loss function is commonly used.