Hello Makers!

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 and pizza

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

7:15 - 7:30: Q&A

7:30 - 8:00 PM: Networking

Description:

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(), and so forth.

Familiarity with method chaining and TF2 is helpful (but not required). If you are comfortable with FRP, the code samples in this session will be very familiar to you.

Speaker's Bio:

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

He has worked in American and Japanese corporations and start-ups, as C/C++ and Java developer to CTO. He works in the web and mobile space, conducts training sessions in Android, Java, Angular 2, and ReactJS, and he writes graphics code for fun. He's comfortable in four languages and 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, and he's currently working on his 15th book, which is about Angular 2.