Deep Learning Masterclass

IIT Madras

Conducted classes covering basics of Machine Learning and Deep Learning, Optimization, Regularization, CNNs, Word Vectors, RNNs and Encoder-Decoder Models for an audience of 90 people comprising Undergraduate and Post-Graduate students

Developed some content and borrowed some from Prof. Mitesh M. Khapra’s Deep Learning course (CS7015)

The following were the topics covered over a span of 1 month

  • Basics of Machine Learning [Slides]
  • Multi Layer Perceptrons [Slides]
  • Regularization and Optimization [Link 1] [Link 2]
  • Convolutional Neural Networks [Slides]
  • Word Vectors
  • Recurrent Neural Networks
  • Encoder-Decoder Models