Deep learning is a subset of machine learning that focuses on algorithms inspired by the structure and function of the brain, known as artificial neural networks. Here's a quick overview of its core concepts:
Key Concepts 🔍
- Neural Networks: Layers of nodes (neurons) process data through weighted connections.
- Training Process: Uses backpropagation to minimize errors via labeled datasets.
- Applications: Powers image recognition, natural language processing, and more.
For deeper exploration, check out our tutorial on AI Introduction. 📚
Let me know if you'd like to dive into specific topics like CNNs or RNNs!