Date
Tuesday, 19 Jun 2018 7:00 PM
Venue
Princeton University – Lewis Library Rm 347
Washington Road and Ivy Lane
Princeton, NJ 08544
Agenda
1) Welcome – 5 min
2) What is machine learning and what are the challenges? 20 min
3) Why and what is Deep learning? – 45 min
– Introduction to Neural Networks
– Feedforward and Back Propagation algorithms
– Overview of Deep learning architectures (CNN, RNN-LSTM etc.,)
– Important questions
– Tools – Tensorflow demo and Keras
5) Demo and code walkthrough – 35 min
– XOR
– MNIST
– New Text generation LSTM
Speaker: KLM Reddy, Data Scientist
cloudsegue Inc.
