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 ...

Have you ever wondered how your streaming service knows just what movie you’d like to watch next? Or how your email filter separates the important messages from the sea of promotional clutter? The ...

Imagine a future where computers don’t just follow orders - they think, adapt, and learn from their mistakes. Well, guess ...