Deep Learning is an advanced area of Machine Learning that has gained significant attention in recent years. It is inspired by the human brain's ability to learn and recognize patterns from data. This section provides an introduction to the basics of Deep Learning.
Key Concepts
- Neural Networks: The fundamental building blocks of Deep Learning.
- Activation Functions: Used to introduce non-linear properties to the network.
- Backpropagation: An algorithm used to train neural networks.
Resources
- Understanding Neural Networks - For a more detailed explanation of neural networks.
- Activation Functions Explained - Learn about different activation functions used in Deep Learning.
Deep Learning Neural Network
Deep Learning has applications in various fields such as image recognition, natural language processing, and autonomous vehicles. By understanding the basics of Deep Learning, you can explore these fascinating areas further.