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Chulalongkorn Uni: Intro to Deep Learning with NVIDIA GPU in Computer Vision
A COLLABORATION WITH CHULALONGKORN UNIVERSITY Computer Vision - Workshop Dates: DEC 18 - 20 (3 days) *OPEN FOR REGISTRATION Language of Conduct:Thai language & English Materials Course Fee:Regular Price : USD900 Early bird for corporate : USD600 (by July 1st , 2019)Early bird for academic : USD550 (by July 1st , 2019)Price EXCLUDES 7% VAT. Full price will be included in the ticket. *Academic tickets MUST be purchased and proven with a EDU/University email! HOW TO REGISTER: 1. To register directly with iTrain Asia, please email your details to info@itrainasia.com2. Via Eventbrite registration page*Please note that Eventbrite charges apply PAYMENT METHODS: 1. Via Eventbrite by PayPal/Credit Card (please note that Eventbrite charges will apply) 2. To make direct payment transfer, please transfer to the following account and kindly SEND YOUR FULL NAME & RECEIPT upon successful payment: Please key in the price Please email your receipt/proof of payment to yana@itrainasia.com Pre-requisites Must have technical knowledge in R and Python, understand basic Data Science, Machine Learning and AI algorithms, familiarity with basic programming fundamentals such as functions and variables Your Certificate You will receive an e-Certificate by NVIDIA Deep Learning Institute upon completion. About the Course This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own. Learn the latest techniques on how to design, train, and deploy neural network-powered machine learning in your applications. You’ll explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms. DLI Workshop Attendee Instructions: You MUST bring your own laptop to this workshop. WHAT YOU WILL LEARN Course Outline Introduction to Deep Learning with NVIDIA GPU in Computer Vision 3 days from 9AM - 4:30PM DAY 1 - (DEC 18, 2019) Platform: Keras on Google Colab Prerequisite: Python programming What is Deep Learning and what are Neural Networks? (90 mins) [Lecture] Basics of Deep Learning Training a Neural Network Practical session I (90 mins) [Lab] Create a Neural Network in Python Introduction to convolution neural networks and recurrent neural networks (90 mins) [Lecture] Intuition and building blocks Types of convolutional neural networks Types of recurrent neural networks Practical session II (60 mins) [Lab] Convolutional Neural Networks and Recurrent Neural Networks Tips and tricks to training a neural network model (30 mins) [Lecture] DAY 2 [DLI] (DEC 19, 2019) Platform: DIGITS NVIDIA Deep Learning Institute Fundamentals Training Pre-requisite: MUST have technical background and basic understanding of Deep Learning concepts Certificate: Participants will receive an e-certificate from Deep Learning Institute Image Classification with DIGITS (120 min) How to leverage deep neural networks (DNN) within the deep learning workflow Process of data preparation, model definition, model training and troubleshooting, validation testing and strategies for improving model performance using GPUs. Train a DNN on your own image classification application Object Detection with DIGITS (120 min) Train and evaluate an image segmentation network Neutral Network Deployment with DIGITS and TensorRT (120 min) Uses a trained DNN to make predictions from new data Show different approaches to deploying a trained DNN for inference learn about the role of batch size in inference performance as well as virus optimisations that can be made in the inference process DAY 3 (DEC 20, 2019) Intelligent Video Analytics with Deep Learning Platform: Keras on Google Colab Prerequisite: Python programming & 1st training day Overview of Architectures for Computer Vision (90 min) Lab 1: Image classification with Keras (60 min) Deployment with Deepstream and TensorRT (30 min) Lab 2: Deployment for classification and detection tasks (30 min) Transfer learning techniques (30 min) Lab 3-1: Model adaptation (30 min) Lab 3-2: Advanced techniques for adaptation (30 min) Video action recognition (15 min) Lab 4: Video action recognition (30 min) Jetson Demo: deployment on Jetson (15 min) ABOUT YOUR TRAINERS: PROF. EKAPOL CHUANGSUWANICH, Ph.D. Ekapol Chuangsuwanich is a Faculty Member in the Department of Computer Engineering at Chulalongkorn University. He received the B.S. and S.M. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2008 and 2009, respectively. He then joined the Spoken Language Systems Group at MIT Computer Science and Artificial Intelligence Laboratory. He received his Ph.D. degree in 2016 from MIT. His thesis work was on low-resource automatic speech recognition and representation learning using neural networks, which was part of the system that won Babel open keyword spotting challenge in 2016. With his expertise in multimedia retrieval, he is also one of the founding members of SmartVid.io, a startup working on organizing videos and images for the construction industry. In 2017, SmartVid.io was a runner-up in NVIDIA's Inception competition for AI startups. PROF. PEERAPON VATEEKUL, Ph.D. Peerapon Vateekul received his Ph.D. degree from Department of Electrical and Computer Engineering, University of Miami (UM), Coral Gables, FL, U.S.A. in 2012. Currently, he is an assistant professor at Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Thailand. Also, he is a deputy head of the department in academic affairs. His research falls in the domain of machine learning, data mining, deep learning, text mining, and big data analytics. To be more specific, his works include variants of classification (hierarchical multi-label classification), data quality management, and applied deep learning techniques in various domains, such as, medicinal images and videos, satellite images, meteorological data, and text.
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Cash, Visa, Mastercard, Discover, & American Express Location : The will call window at the Amway Center box office is located on Church Street. To pick up tickets, you must have a valid photo ID. Opens : Will Call hours of operation are Monday through Friday from 9:00 a.m. to 6:00 p.m. and three (3) hours prior to any event. Venue Information : (407)440-7900 Groups Sales : Amway Center events: 407.440.7900 Orlando Magic games: 407.896.2442, select "2". Minimum # of person : Varies by event In Advance: The Amway Center box office hours of operation are Monday through Friday from 9:00 a.m. to 6:00 p.m. Summer and Holiday hours may vary. Wheelchair accessible and companion seats are available at locations dispersed throughout Amway Center, offering guests the choice of an array of prices, amenities and lines of sight. Seating locations vary depending on particular events. It is important to indicate when buying tickets if you require wheelchair accessible seating. Service animals are animals individually trained to do work or perform tasks for the benefit of an individual with a disability. Guests with disabilities are welcome to bring their service animals inside the Amway Center. Service animals may not use additional seats unless a ticket has been purchased for the adjacent seat, but may request accessible seating. Elevators : The Amway Center has fourteen (14) accessible public elavators available for all guests. Parking : Convenient accessible parking is located in the GEICO Garage, which is adjacent to the Amway Center and accessible via the pedestrian bridge on the Terrace Level (Level 3). Additional accessible parking is located in lot 9. There are also accessible parking spaces in surface lots and garages in the area surrounding the Amway Center. Visit amwaycenter.com for more information. Entrance : The Amway Center's main entrance is at the middle block of Church Street between Hughey Avenue and Division Avenue. Accessible entry is also available via the pedestrian bridge on the Terrace Level (Level 3).
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Cash - Visa - MasterCard - American Express - Discover The Will Call Booth at Highmark Stadium is located in between gates 3 and 4. Guests may pick up their pre-paid tickets on game day. This location is open 4 hours prior to kickoff. PROPER PHOTO IDENTIFICATION IS REQUIRED. Tickets will only be released to the person who purchased the tickets. 1-877-BB-TICKS (228-4257) Box Office Hours Season Hours: 9am - 5pm, Monday - Friday 9am - 1pm, Saturdays before home games Open 4 hours prior to kick off on game days through the end of the 3rd Quarter Off Season Hours: 9am - 5pm, Monday - Friday For Buffalo Bills Tickets Only. Available at the Box Office and through Ticketmaster. Phone #: 1-877-BB-TICKS (228-4257) https://www.buffalobills.com/tickets/policies
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cash, visa, mc, amex & discover - no checks TO PICK UP Will Call -- you must present your confirmation number, a picture ID and the credit card used to purchase your tickets. You must wait 48 hours after ordering to pick up your tickets. For NRG Stadium information 832-667-1400. Monday-Friday 10am-5pm Saturday 10am-2pm. Hours subject to change.
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Cash, Visa, MasterCard, American Express and Discover cards. When purchasing tickets by phone or online, you may choose to pick them up at the Box Office Will Call window during normal business hours, beginning 48 hours after purchase or on the day of the show. Please be prepared to present the credit card used to purchase the tickets, as well as a photo I.D. Press and VIP tickets, or tickets left by a third party, may also be picked up at Will Call prior to the event. A photo I.D. is required. Arena: 405-602-8700 Thunder Ticket Office: 405.208.HOOP (4667) The Box Office is located just off West Reno between the two main entrances on the north side of the Chesapeake Energy Arena. Hours are 10:00 a.m. to 5:30 p.m., Monday through Friday. Weekend and holiday hours vary according to the event schedule. Chesapeake Energy Arena meets or exceeds all structural and service requirements as stipulated by the Americans with Disabilities Act. Restrooms, drinking fountains, phones, Bank of Oklahoma ATM's and concession counters are accessible to guests with disabilities. Additional services are listed below. Accessible Tickets/Seating: Wheelchair accessible seats are available in all price levels. One companion ticket may be purchased with each wheelchair accessible ticket. Please indicate at the time of purchase if you require accessible seating. Accessible Drop-off: Passengers may be dropped off at Reno and Robinson near the northwest entrance to the Chesapeake Energy Arena. Elevators: Elevators are located throughout the Chesapeake Energy Arena for wheelchair access to all levels. The elevators near Section 101, just inside the northwest entrance to the Chesapeake Energy Arena, provide access to the arena floor. Elevator on club level nearest Section 205. See the maps at the center of this guide for exact locations. Emergency Evacuation: Chesapeake Energy Arena staff members have been trained in emergency preparedness and evacuation procedures. Key employees are assigned to assist patrons with disabilities to safety. Listening Devices: Listening devices may be rented free of charge at the Guest Relations Desks located at each of the main entrances. A credit card or check deposit, as well as a valid I.D., are required to ensure the return of equipment. Parking: Accessible parking is available in the parking lots on the south side of the Chesapeake Energy Arena. Entrances are available on S.W. 3rd Street, east of Robinson. Accessible parking spaces are also available in the underground parking garage at the neighboring Cox Convention Center. See Parking for additional information. Service Animals: Trained guide dogs or service animals are permitted to assist guests inside the arena. If special accommodations are required for your service animal, please notify us at the time of your ticket purchase. All other animals are prohibited. Sign Interpreters: Guests who require interpreting services during an event, should contact the Guest Relations Manager by calling (405) 602-8700 within three weeks of the event. Telephones: Telephones are provided at Guest Relations locations and throughout the Chesapeake Energy Arena, courtesy of Cox Communications. TDD machines and volume-enhanced phones are available. Wheelchair Assistance: The Chesapeake Energy Arena offers wheelchair service for guests who may need assistance to and from their seats. Please contact a Guest Relations representative for assistance. Wheelchair assistance is provided on a first-come, first-served basis. Due to the limited number of wheelchairs available, they may not be borrowed or rented as seating during the event. If wheelchair assistance becomes necessary during an event, please notify the nearest staff member.
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