Artificial Intelligence and Data Science

3. Deep Learning & Neural Networks (30 Hours)


Module 1: Introduction to Deep Learning (4 Hours)
  • Neural networks basics
  • Deep learning vs machine learning
Module 2: Neural Network Architecture (6 Hours)
  • Perceptron model
  • Activation functions
  • Forward propagation
  • Backpropagation
Module 3: Deep Learning Frameworks (6 Hours)
  • TensorFlow basics
  • Keras introduction
Module 4: Training Neural Networks (8 Hours)
  • Model building
  • Loss functions
  • Optimization algorithms
Module 5: Applications of Deep Learning (4 Hours)
  • Image recognition
  • Speech recognition
Mini Project (2 Hours)
  • Handwritten digit recognition