• Introduction to Machine Learning
  • Python Basics and Numpy
  • Machine Learning Tasks - Classification, Regression, Clustering
  • Basic Image processing methods in Open CV , Face Recognition, Video Analysis
  • Artificial Neural Networks, Feed forward Neural Networks, Convolutional Neural Networks
  • Model Implementation in Keras and Tensor flow. Image Data Generator and augmentation methods.
  • Recurrent Neural Networks, Transfer Learning