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Where to Add Dropout in Neural Network?

In this blog, we will learn about the concept of 'dropout' in the context of neural networks, a crucial term familiar to data scientists and software engineers. Explored as a regularization technique, dropout plays a key role in preventing overfitting, ultimately enhancing the generalization performance of your model. Delving into best practices, we will specifically address the optimal points for integrating dropout within your neural network architecture.