vanishing gradient

What is the vanishing gradient problem in deep learning, and how can it be addressed?

Bynajib

The vanishing gradient problem is a big challenge in deep learning. It happens when gradients, which are important for learning, get very small. This makes it hard for the model to learn and understand complex things. This problem is often caused by certain activation functions and the network’s depth. As gradients move back through layers,…

backpropagation

What is the role of backpropagation in training deep learning models?

Bynajib

Backpropagation is a key algorithm in training deep learning models. It’s a supervised learning method that helps deep neural networks learn and get better over time. The algorithm adjusts the network’s connection weights to reduce loss. It does this by calculating the loss function’s gradient for each weight. Then, it updates the weight to minimize…