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.
What is Deep Learning?
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.
- Neural Networks: Deep learning is based on neural networks, which are systems that attempt to mimic the behavior of the human brain.
- Layers: Neural networks consist of layers, including input, hidden, and output layers. Each layer processes the data and passes it to the next layer.
- Learning: Through a process called backpropagation, the neural network adjusts its weights and biases to improve its accuracy.
Applications of Deep Learning
Deep learning has found applications in various fields:
- Image Recognition: Deep learning models are used to identify and classify objects in images.
- Speech Recognition: These models are used to convert spoken words into written text.
- Natural Language Processing: Deep learning models help in understanding and generating human language.
Resources
For further reading on deep learning, you can explore our Machine Learning section.
Deep Learning Neural Network