How to become a Full-Stack Deep Learning Engineer by Forrest Iandola
Details
Please register on Eventbrite: https://www.eventbrite.com/e/how-to-become-a-full-stack-deep-learning-engineer-by-forrest-iandola-tickets-43943147136
Historically, AI has been an algorithm-centric field. However, with the rise of Deep Neural Networks (DNNs), it is now the case that (1) large-scale data, (2) novel DNN models, and (3) efficient software and hardware infrastructure, are all key to success. The best outcomes often come from teams who understand the "full stack" from low-level hardware for DNNs to high-level applications of DNNs. Full-stack DNN teams are able to make big-picture tradeoffs in the development of data, models, and infrastructure, leading to practical solutions that exhibit unprecedented levels of accuracy, speed, energy-efficiency.
In this talk, Forrest Iandola will focus on three main topics. First, he will inclusively define the "full stack" of skills and technologies that go into DNN engineering. Second, he will describe a playbook for managers who want to build, coach, and grow a full-stack DNN engineering team. This playbook draws on lessons that Forrest have learned first-hand at UC Berkeley, Microsoft Research, and DeepScale. Finally, he will provide advice on how a generalist or specialist engineer can engage with a full-stack DNN engineering team, and describe a path for how to ultimately become a full-stack DNN engineer.
Please register on Eventbrite: https://www.eventbrite.com/e/how-to-become-a-full-stack-deep-learning-engineer-by-forrest-iandola-tickets-43943147136
Speaker Bio:
Forrest Iandola completed a PhD in Electrical Engineering and Computer Science at UC Berkeley, where his research focused on deep neural networks. His advances in scalable training and efficient implementation of deep neural networks led to the founding of DeepScale, where he is CEO. DeepScale is focused entirely on building perception systems for automated vehicles, and DeepScale has a number of engagements with automakers and automotive suppliers.
The address for the event is:
Clari, Inc. 1154 Sonora Court, Sunnyvale, CA 94086
Parking Instructions: If you drive in, you can park in the parking lot alongside our building in any open spot. If the lot is full, there is also parking along the street that is available. We are also conveniently located just 5-mins walk away from the Lawrence CalTrain station.
Event schedule:
6:30 PM - 7:00 PM: Sign in
7:00 PM - 8:00 PM: Talk followed by Q&A
8:00 PM - 8:45 PM: Social Time: Pizza and Networking
8:45 PM Event close [please note that we need to be cleared out of the sight by this time.]