Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

Recent advancements in neural network optimisation have significantly improved the efficiency and reliability of these models in handling complex tasks ranging from pattern recognition to multi-class ...