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 (neurons) that work together to process information.
- Layers: Deep learning models typically consist of multiple layers of neurons, each responsible for learning different features of the data.
- Activation Functions: These functions determine whether a neuron should be activated or not based on the input it receives.
- Backpropagation: This is a method used to adjust the weights of the neurons in a neural network based on the error of the output.
Learning Resources
For a more detailed guide on deep learning, you can check out our comprehensive guide on Deep Learning Fundamentals.
Example
Here is a simple neural network diagram:
Further Reading
Conclusion
Deep learning is a powerful tool that is transforming the field of artificial intelligence. By understanding the basics, you can begin to explore its applications and potential.