This course provides a basic understanding of neural networks and deep learning, focusing on their applications in AI. It covers biological neurons, artificial neural networks (ANNs), and perceptrons, helping learners understand how these networks solve complex problems. The course also introduces deep learning concepts using multiple hidden layers to model data patterns.
Who Should Take This Course:
Beginners and anyone interested in learning the fundamentals of neural networks and deep learning.
What You Will Learn:
• Structure and function of biological and artificial neurons
• Concept and operation of perceptrons
• Architecture of artificial neural networks
• Role of ANNs in deep learning
• Basic techniques for training and evaluating neural networks
Why This Course Matters:
This course lays the foundation for AI and deep learning, enabling learners to understand and build neural networks for practical applications.
