Deep Learning uses layered neural networks inspired by the human brain to learn from massive amounts of data.
🧑For teens & curious minds
Deep Learning is a subset of ML that uses multi-layered artificial neural networks (deep nets) to learn hierarchical representations from data. It excels at image recognition, speech processing, and natural language tasks.
💡Visual Analogy
Deep Learning is like peeling an onion — each layer understands the data at a deeper, more abstract level.
Key Terms
Layer:A processing stage in a neural network.
Parameter:A value the network adjusts during training.
Convolutional Network:A deep learning architecture great for image tasks.
🎯 Fun Facts
•Deep Learning is why self-driving cars can see the road.
•Your phone's camera uses deep learning to improve photos.
•AlphaFold, a deep learning AI, solved a 50-year-old biology problem.
•Deep learning models can have over 1 trillion parameters.