B.TECH/M.TECH CSE LIVE PROJECTS DEEP LEARNING
Deep Learning is a subfield of AI that uses multi-layered neural networks to automatically learn complex representations from large datasets, powering advancements in image recognition, speech processing, and autonomous systems.
KEY COMPONENTS OF DEEP LEARNING
B.Tech Projects
- Neural Networks: Layers of interconnected nodes that learn representations from data.
- Activation Functions: Introduce non-linearity allowing complex pattern recognition.
- Optimization Algorithms: Techniques like Adam or SGD minimize loss and improve learning.
- Regularization: Prevents overfitting and improves generalization.
- Evaluation Metrics: Measure model accuracy, precision, recall, and performance.
