What is Deep Learning?

Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers (deep neural networks) to model and understand complex patterns in data. It's inspired by the structure and function of the human brain.

When to use Deep Learning?

Use Deep Learning for complex problems involving large amounts of unstructured data, such as image recognition, natural language processing, speech recognition, and autonomous driving. It's particularly effective when traditional ML approaches fall short.

When not to use Deep Learning?

Avoid Deep Learning when you have small datasets, limited computational resources, or when simpler ML approaches can achieve similar results. It's also not suitable when you need highly interpretable models or have strict real-time processing requirements.

What is the importance of Deep Learning?

Deep Learning has revolutionized AI by enabling breakthrough performance in areas like computer vision and natural language processing. It powers many modern AI applications including voice assistants, image recognition systems, and language models.