Tutorial-32:Code implementation of dropout layers|Deep Learning

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Understanding and Implementing Dropout Layers in Neural Networks | Python Code Tutorial
Welcome to this hands-on tutorial where we dive deep into the concept of Dropout layers — a powerful regularization technique used to prevent overfitting in neural networks.

In this video, you'll learn:
✅ What is Dropout and why it's important
✅ How Dropout works during training vs. inference
✅ Step-by-step code implementation using [TensorFlow / PyTorch / Keras – choose your framework]
✅ How Dropout impacts model performance

Perfect for beginners and intermediate learners in Deep Learning and AI.

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