Introduction to tf.data in TensorFlow 2
About this Event
Join us for an intro to tf.data in TensorFlow 2 with Oswald Campesato.
Following is a brief agenda for the evening:
6:00 - 6:30 PM: Doors open for networking & pizza
6:30 - 7:15 PM: Oswald's talk
7:15 - 7:30: Q&A
7:30 - 8:00 PM: Networking
This session for beginners introduces the tf.data API for creating data pipelines by combining various "lazy operators" in tf.data.Dataset, such as filter(), map(), batch(), & so forth.
Familiarity with method chaining & TF2 is helpful (but not required). If you are comfortable with FRP, the code samples in this session will be very familiar to you.
Oswald Campesato 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.