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Date: July 24th, 2019
Squeezing Down the Computing Requirements of Deep Neural Networks



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Upcoming Events

The following schedule and location hold for most events, unless otherwise noted:

  • 6:30pm: Networking/Light Dinner
  • 7:00pm: Announcement
  • 7:05pm: Presentation
  • 8:15pm: Adjourn

Cost: Free. Food donation accepted: $2 for IEEE member, $5 for non-IEEE member.

Location: Cypress Semiconductor Corporation, Main Auditorium in Building 6, 198 Champion Ct, San Jose, CA 95134

We would appreciate suggestions for speakers to present at our meetings in the future.

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Squeezing Down the Computing Requirements of Deep Neural Networks

Date: July 24th, 2019

The event is FREE. Food & drinks will be provided.

This event is organized by:


Speaker:  Forrest Iandola, CEO and co-Founder of DeepScale

Location: 673 South Milpitas Blvd. Milpitas, CA 95035, USA  View Map 




  • 6:00 – 6:30 PM Networking & Refreshments
  • 6:30 – 7:30 PM Talk
  • 7:30 – 8:00 PM Q&A/Adjourn


Deep Neural Networks (DNNs) have enabled breakthrough levels of accuracy on a variety of tasks in vision, audio, and text. However, DNNs can be quite computationally-intensive, and highly-accurate DNNs often require a full-sized GPU server for real-time inference. To squeeze DNNs into smaller computing footprints, there are a number of techniques, including better DNN design, DNN quantization, better implementations of DNNs, and better utilization of specialized computing hardware. This talk touches on all these techniques, with particular focus on better DNN design for computer vision. Recently, Neural Architecture Search (NAS) technologies have begun to make significant progress in automating the process of designing “squeezed” DNNs, and we cover some of the latest work on NAS in this talk.

Bio: Forrest Iandola

Forrest Iandola completed a PhD in Electrical Engineering and Computer Science at UC Berkeley, where his research focused on improving the efficiency of deep neural networks (DNNs). His best-known published research ranges from scaling DNN training to hundreds of GPUs (FireCaffe), to squeezing DNNs onto small edge-devices (SqueezeNet and SqueezeDet). His advances in scalable training and efficient inference of DNNs led to the founding of DeepScale, where he has been CEO since 2015. DeepScale builds energy-efficient vision and perception systems for automated vehicles.

Open to all to attend

(Online registration is needed. If you did not register, seating is not guaranteed.)

State of AI and ML-Summer 2019

Date: August 16th, 2019

State of AI and ML- Summer 2019

IEEE SCV CAS is cross-promoting this event.

Aug 16, 9:00 AM – Aug 17, 6:00 PM, @ Z-Park Silicon Valley, 4500 Great America Pkwy, Santa Clara, CA 95054, USA.

Join this 2-day event as part of series of regularly planned events to learn about the state-of-the-art advances in artificial intelligence (AI) and machine learning (ML) technology. Get IEEE PDH Certificate from IEEE Continuing Education.

Go to and hit register to go to Eventbrite page and use discount code  VALLEYML_CAS25 to get 25% off.

[] Machine Learning and Deep Learning Boot Camp

Date: October 17th, 2019

IEEE SCV CAS is cross-promoting this event.

August 29th through October 17th, 2019,; Machine Learning and Deep Learning Boot Camp, @Z-Park, 4500 Great America Pkwy, Santa Clara

The Boot Camp consists of the 8 workshops which cover fundamentals of machine learning to the latest advances of deep learning technologies and their applications.  Build a solid foundation of Machine Learning / Deep Learning principles and apply the techniques to real-world problems. Learn the theoretical details of machine learning algorithms to the latest techniques in deep learning applications. Create prototypes and build practical deep learning applications to solve real-world problems. Receive IEEE PDH Certificate from IEEE Continuing Education

Go to and click ML and DL Boot camp to go to Eventbrite page and use discount code  VALLEYML_CAS40 to get 40% off by June 30th.

Use discount code VALLEYML_CAS25 to get 25% off  from July 1st till August 22nd.

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