Overview
A subset of machine learning based on artificial neural networks with multiple layers.
Detailed Description
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks have been applied to fields including computer vision, speech recognition, and natural language processing.
Use Cases & Examples
- ✓Convolutional Neural Networks (CNN)
- ✓Recurrent Neural Networks (RNN)
- ✓Transformer models
💬 Community Discussion (4)
Great explanation! This really helped me understand the concept better. The examples are particularly useful for beginners.
Very comprehensive definition. Would love to see more real-world use cases and implementation details.
Perfect for studying! I'm preparing for a technical interview and this resource is invaluable.
The related terms section is super helpful. It's great to see how different concepts connect to each other.