Wednesday, March 25 at 4:30-6:00 pm
138 Lewis Science Library, Princeton University

Please join us for this 90-minute workshop, taught at an intermediate level. We will briefly introduce TensorFlow, then dive into writing two flavors of neural networks (DNNs and CNNs). Attendees will need a laptop and an internet connection. There is nothing to install in advance, we will use https://colab.research.google.com for examples. We will start with MNIST, then proceed to training a model to recognize cats and dogs. We will finish with a brief intro to a couple more advanced examples to visualize the features learned by a CNN (including Attention Maps, Style Transfer, and Deep Dream). If there's anything you'd like to chat about in more depth, Josh will be around afterwards to speak 1:1.

Speaker: Josh Gordon works on the TensorFlow team at Google, and teaches Applied Deep Learning at Columbia. You can find him online at https://twitter.com/random_forests

Light refreshments will be served.

This workshop was organized by the TensorFlow & PyTorch User Group. It is sponsored by the Princeton Institute for Computational Science and Engineering (PICSciE) and the Center for Statistics and Machine Learning (CSML).