Deep Learning

Introduction to Deep Learning

• What is Deep Learning?
• History and Evolution
• Key Concepts and Terminology

Neural Networks Fundamentals

• Structure of a Neural Network
• Activation Functions
• Loss Functions and Optimization

Types of Neural Networks

• Feedforward Neural Networks
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)

Training Deep Learning Models

• Data Preparation and Preprocessing
• Training Techniques
• Overfitting and Regularization

Advanced Deep Learning Techniques

• Transfer Learning
• Generative Adversarial Networks (GANs)
• Reinforcement Learning

Deep Learning Frameworks

• Overview of Popular Frameworks
• TensorFlow
• PyTorch

Challenges and Future Directions

• Ethical Considerations
• Interpretability and Explainability