DEEP LEARNING

  DEEP LEARNING Content:- ### Introduction to Deep Learning 1. **What is Deep Learning?**    - Definition and importance    - Historical context and evolution    - Differences between AI, Machine Learning, and Deep Learning 2. **Applications of Deep Learning**    - Computer vision (image classification, object detection, etc.)    - Natural language processing (text generation, sentiment analysis, etc.)    - Speech recognition    - Healthcare (medical imaging, drug discovery, etc.)    - Autonomous vehicles    - Other real-world applications ### Fundamentals of Neural Networks 3. **Basic Concepts**    - Neurons and perceptrons    - Activation functions (sigmoid, ReLU, tanh, etc.)    - Loss functions (MSE, cross-entropy, etc.) 4. **Training Neural Networks**    - Forward and backward propagation    - Gradient descent and optimization algorithms (S...