Computer Vision, Convolutional Network.
backward through the layers. This allows the network to update its weights and biases in a way that minimizes the loss. To avoid overfitting, regularization techniques are employed. Dropout randomly deactivates neurons during training, reducing their reliance on specific features and promoting