What is deep learning and how does it work?
An example of an AI chatbot conversation about deep learning concepts and applications.
What is deep learning and how does it work?
Deep learning is a subset of machine learning that uses neural networks with many layers to analyze various forms of data.
Can you explain how neural networks are structured?
Sure! Neural networks consist of layers of nodes, including an input layer, hidden layers, and an output layer, where each node is connected to others.
What are some common applications of deep learning?
Deep learning is used in image recognition, natural language processing, autonomous vehicles, and more.
How does deep learning differ from traditional machine learning?
Deep learning can automatically learn features from raw data, while traditional machine learning often requires manual feature extraction.
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