Deep Learning Masterclass

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

Some of the slides were prepared by me and Vaibhav Nayel, and some were amazing slides borrowed 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