Introduction to Deep Learning and TensorFlow (for beginners)

SPEAKER:
Oswald Campesato, Co-Founder and CEO, iQuarkt

ABSTRACT:
A fast-paced introduction to Deep Learning (DL) concepts, starting with a simple yet complete neural network (no frameworks), followed by aspects of deep neural networks, such as back propagation, activation functions, CNNs, and the AUT theorem. Next, a quick introduction to TensorFlow and Tensorboard, along with some code samples with TensorFlow.

For best results, familiarity with basic vectors and matrices, inner (aka "dot") products of vectors, the notion of a derivative, and rudimentary Python is recommended. (Bonus points if you know Zorn's Lemma and the Axiom of Choice.)

SPEAKER BIOGRAPHY:
Oswald is a former PhD Candidate (ABD) in Mathematics, an education junkie (6 degrees), and an author of 19 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 over 70 countries on six continents. He has worked from C/C++/Java developer to CTO, comfortable in 4 languages, and dreams of becoming fluent in Japanese. Currently he is an instructor for a Deep Learning (TensorFlow) course at UCSC and also provides training in Deep Learning and Android.

SPONSOR:
Leanplum (Venue and Food)