Deep Learning

A fast-paced introduction to TensorFlow 2 about some important new features (such as generators and the @tf.function decorator) and TF 1.x functionality that's been removed from TF 2. A brief discussion of lazy operators and code samples, and if time permits, tf.keras models in TF 2 for CNNs and LSTMs.

Who is this presentation for?
Data Scientists

Prerequisite knowledge:
Basic understanding of Python

What you'll learn?
New features of TensorFlow 2

Oswald is a former PhD Candidate (ABD) in Mathematics, an education fanatic with multiple graduate degrees, and an author of 20 technical books. He has worked for Oracle, AAA, and Just Systems of Japan, along with various startups. He has lived/worked in 5 countries on three continents, and in a previous career he worked in South America, Italy, and the French Riviera, and has traveled to 70 countries on six continents. He has worked from C/C++/Java developer to CTO, comfortable in several languages, and wants to become fluent in Japanese. He has presented Deep Learning sessions at conferences, Google LaunchPad, and BA meetups to more than 1,200 people, and he is currently is an instructor for Deep Learning and TensorFlow as well as Machine Learning at UCSC, and a consultant who provides training primarily in Machine Learning, Deep Learning, TensorFlow, and Keras.