Deep Learning & Neural Networks
Deep Learning is one of the most advanced areas of AI and powers technologies such as image recognition, speech recognition, recommendation systems, and autonomous vehicles. This course introduces neural networks and deep learning architectures using practical examples and hands-on implementation.
Students will learn how neural networks function, train deep learning models, and build intelligent systems capable of solving complex tasks.
What Will I Learn?
- Neural networks
- Deep learning architectures
- TensorFlow fundamentals
- Model training
- Computer vision basics
- AI project development
Course Content
Neural Network Fundamentals
-
Introduction to Neural Networks
-
Perceptrons
-
Activation Functions
-
Forward Propagation
Deep Learning Models
Practical Applications
Material Includes
- Deep learning notebooks
- Neural network projects
- Datasets
- Video tutorials
- Coding exercises
- Assignments
Requirements
- Python programming skills
- Basic machine learning knowledge
Audience
- AI learners
- Data scientists
- Software developers
- Researchers
