Deep Learning is a subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.
Key Concepts
- Neural Networks: These are inspired by the human brain and consist of interconnected nodes or "neurons" that work together to process information.
- Layers: Deep Learning models have multiple layers, including input, hidden, and output layers.
- Activation Functions: These functions help determine whether a neuron should be activated or not.
Applications
Deep Learning has found applications in various fields, including:
- Image Recognition: Identifying objects and features in images.
- Speech Recognition: Transcribing spoken words into written text.
- Natural Language Processing: Understanding and generating human language.
Further Reading
For more in-depth information, we recommend exploring the following resources:
Images
Here are some examples of Deep Learning in action: