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: Inspired by the human brain, these networks are composed of interconnected nodes (neurons) that process information.
  • Layers: Deep learning models consist of multiple layers, including input, hidden, and output layers.
  • Backpropagation: This is a method used to train neural networks by adjusting the weights and biases based on the error rate.

Applications

  • Image Recognition: Deep learning has revolutionized image recognition, enabling computers to identify objects, faces, and scenes in images.
  • Natural Language Processing (NLP): It helps in understanding and generating human language, powering applications like chatbots and translation services.

Neural Network

Resources

For more in-depth learning, you can explore our Machine Learning Resources section.

If you're looking to dive deeper into the world of deep learning, consider checking out the following resources:

Deep Learning Book