What are Neural Networks?
Neural networks are a series of algorithms that attempt to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
How do They Work? 🤔
Neural networks consist of layers of nodes, much like the human brain consists of neurons. They can identify patterns within vast amounts of data, recognize speech, images, and much more.
Key Components
- Input Layer: The initial layer that receives the input data.
- Hidden Layers: Layers where computations occur, often more than one.
- Output Layer: Produces the final result of the network's computation.
Applications of Neural Networks
- Image and speech recognition
- Predictive analytics
- Medical diagnosis
Explore more about neural networks at deep learning resources and become a pro!