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

• Artificial Neural Networks (ANNs): Mimic the human brain's ability to learn, remember, and make decisions.
• Layers: The structure of the neural network, including input, hidden, and output layers.
• Neurons: The basic building blocks of the neural network, which process information.

Applications

Deep learning has been applied in various fields, including:

• Image Recognition: Identifying objects, faces, and scenes in images.
• Natural Language Processing (NLP): Understanding and generating human language.
• Recommender Systems: Personalizing recommendations for users.
• Medical Diagnosis: Analyzing medical images for disease detection.

Resources

For further reading, check out our comprehensive guide on Deep Learning Basics.

Deep Learning Architecture