Learn By Example | How to add a Weight Regularization (l2) to a Deep Learning Model in Keras? Weight regularization is a technique used in deep learning to prevent overfitting, which occurs when a model is too complex and is able to memorize the training data instead of learning from it. One common type …
Day: January 25, 2020
Learn By Example | How to add a dropout layer to a Deep Learning Model in Keras? Deep learning models are complex algorithms that can be used to solve a variety of tasks, such as image recognition, natural language processing, and more. However, these models can sometimes “memorize” the training data too well, …