Hello Makers! Following up to Oswald's talk from early this year, we're hosting another session on the fundamentals!

Agenda:

6:00 - 6:30 PM: Doors open for networking & pizza

6:30 - 7:15 PM: Oswald's talk

7:15 - 7:30 PM: Q&A

Description:

This fast-paced session starts with a simple yet complete neural network (no frameworks), followed by an overview of activation functions, cost functions, backpropagation, & then a quick dive into CNNs. Next, we'll create a neural network using Keras, followed by an introduction to TensorFlow & TensorBoard. For best results, familiarity with basic vectors & matrices, inner (aka "dot") products of vectors, & rudimentary Python is definitely helpful. If time permits, we'll look at the UAT, CLT, & the Fixed Point Theorem. (Bonus points if you know Zorn's Lemma, the Well-Ordering Theorem, & the Axiom of Choice.)

Oswald's Bio:

Oswald is an education junkie: a former Ph.D. Candidate in Mathematics (ABD), with multiple Master's & 2 Bachelor's degrees. In a previous career, he worked in South America, Italy, & the French Riviera, which enabled him to travel to 70 countries throughout the world.

He has worked in American & Japanese corporations & start-ups, as C/C++ & Java developer to CTO. He works in the web & mobile space, conducts training sessions in Android, Java, Angular 2, & ReactJS, & he writes graphics code for fun. He's comfortable in four languages & aspires to become proficient in Japanese, ideally sometime in the next two decades. He enjoys collaborating with people who share his passion for learning the latest cool stuff, & he's currently working on his 15th book, which is about Angular 2.