Deep Learning Introduction

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: Deep learning uses neural networks, which are inspired by the human brain's structure and function.
• Layers: A neural network consists of layers, including input, hidden, and output layers.
• Activation Functions: These functions help the network learn from data and make decisions.

Applications

Deep learning has found applications in various fields, including:

• Image Recognition: Identifying objects in images, such as in self-driving cars.
• Natural Language Processing: Understanding and generating human language, like in chatbots.
• Medical Diagnosis: Helping doctors diagnose diseases from medical images.

Learn More

For a deeper understanding of deep learning, you can explore our Introduction to Machine Learning tutorial.

Deep Learning Neural Network