Abstract: 

We will build and tweak several vision classifiers together starting with perceptrons and building up to transfer learning and convolutional neural networks. We will investigate practical implications of tweaking loss functions, gradient descent algorithms, network architectures, data normalization, data augmentation and so on. This class is super hands on and practical and requires no math or experience with deep learning.

Bio: 

Lukas Biewald is the founder of Weights & Biases and also the founder and Chief Data Scientist of CrowdFlower. Founded in 2009, CrowdFlower is a data enrichment platform that taps into an on-demand to workforce to help companies collect training data and do human-in-the-loop machine learning.

Following his graduation from Stanford University with a B.S. in Mathematics and an M.S. in Computer Science, Lukas led the Search Relevance Team for Yahoo! Japan. He then worked as a senior data scientist at Powerset, acquired by Microsoft in 2008. Lukas was featured in Inc Magazine’s 30 Under 30 list.

Lukas is also an expert level Go player.