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.
Key Components of Deep Learning
- Neural Networks: Deep learning uses neural networks to simulate the behavior of the human brain.
- Layers: Neural networks are composed of layers, each performing a specific task.
- Backpropagation: This algorithm adjusts the weights of the neural network to improve its accuracy.
Deep Learning Applications
Deep learning is used in a variety of applications, including:
- Image Recognition: Identifying objects in images, such as faces or animals.
- Speech Recognition: Transcribing spoken words into text.
- Natural Language Processing: Understanding and generating human language.
Resources
For more information on deep learning, check out our Machine Learning Tutorial.
Deep Learning Libraries
- TensorFlow: An open-source library for machine learning.
- PyTorch: Another popular open-source machine learning library.
Deep Learning Neural Network