Workshop on prerequisites of Artificial Intelligence and Deep Learning

Schedule

(Tea/Coffe & Snacks)

1. Deep Learning Overview using Linear Regression
   1. Concepts of Derivatives and its applicaitons
   2. Matrix, Types and Matrices and Operations on them
   3. Vectors and their Operations
   4. Concepts behind Tensors and higher order Matrices
2. Classification using Neural Network (Logistic Classifier)
3. Feed Forward Neural Networks with multiple Hidden Layers

(Lunch)

1. Concept of Transfer Learning and Fine tuning
2. Application based on Convolutional Neural Network and Transfer Learning
3. Introduction to popular online Deep Learning Courses
4. Introductionto Intel Neon Framework and cloud access for future projects
5. Question and Answer Session