Data Science Deep Learning Machine-Learning Scientific Libraries (Numpy/Pandas/SciKit/...)
Learn about the updates being made to TensorFlow in its 2.0 version. We’ll give an overview of what’s available in the new version as well as do a deep dive into an example using its central high-level API, Keras. You’ll walk away with a better understanding of how you can get started building machine learning models in Python with TensorFlow 2.0 as well as the other exciting available features!
Type: Talk (30 mins); Python level: Beginner; Domain level: Beginner
Brad is passionate about educating the world about artificial intelligence both by empowering developers and improving societal understanding. He is currently a Developer Programs Engineer at Google where he specializes in machine learning and big data solutions. Outside of work, Brad can be found singing, climbing, playing board games and locating the best restaurants in New York City.