San Francisco: Dive into Deep Learning

This week, we'll step a little bit outside the C++ box and hear about deep learning and neural networks from Oswald Campesato.

A fast-paced introduction to Deep Learning (DL) concepts, such as neural networks, back propagation, activation functions, CNNs, RNNs, and the CLT/AUT/fixed-point theorems, along with a basic code sample in TensorFlow.

During this session you will learn how to manually create a basic neural network that acts as a classifier, and also the segue from linear regression to a neural network. You'll also learn about GANs (Generative Adversarial Networks) for static images as well as voice, and such networks' potential impact on self-driving cars.

Oswald Campesato is a former PhD candidate in mathematics, an education junkie (6 degrees), and an author of 17 technical books (https://www.amazon.com/s/?rh=i%3Abooks&field-author=Oswald+Campesato). He has worked for Oracle, AAA, and Just Systems of Japan, along with various startups. He has lived/worked in 5 countries on 3 continents, has traveled to 70 countries on 6 continents, is comfortable in 4 languages, and wants to become fluent in Japanese. He has worked from C/C++/Java developer to CTO. Currently he is a consultant and provides training in Deep Learning and Android.