Overview
Neural networks are a key part of deep learning, mimicking how the human brain works to process information. They consist of layers of interconnected nodes, or neurons, that learn from data. This introduction will help you understand the basic structure and function of neural networks, their applications, and how they can solve complex problems in various fields like image recognition and natural language processing.
📚 Key Learning Objectives
- ✓ Define what a neural network is.
- ✓ Identify the main components of neural networks.
- ✓ Explain how neural networks learn from data.
- ✓ Describe common applications of neural networks.
- ✓ Illustrate the differences between neural networks and traditional algorithms.
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