Cash, Visa, MasterCard, American Express, Discover
Will Call tickets can be picked up anytime the Box Office is open, thru event start time. Customers must present the actual credit card used to place the order and a valid photo ID.
General Information... 202-628-3200 Accessible Seating Only.. 202-661-5065
Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays *Hours subject to change
To better accommodate your needs, Capital One Arena has requested that all accessible seating ticket accommodations be solicited only through their representatives. Please contact a Capital One Arena representative for further help with your ticket purchase.* Advance ticket purchase may be required. * Box office information is subject to change.
All major credit cards accepted on the 24 hr booking line.
Tickets left at the box office for collection may be picked up on the day, during the hour before the performance starts. Please take the credit card and Ticketmaster Booking Reference Number as proof of purchase.
Ticketmaster UK: 0870 154 40 40 International: 00 44 161 385 3500
The theatre box office is open from 10:00 until curtain up Monday to Saturday.
For special needs seating please call the venue on 0844 482 5137.
Cash, AmEx, Visa, MC
Pick up tickets one hour prior to the show. Customers must present the actual credit card used to place the order and a photo ID.
(212) 221-1211
Monday - Saturday 10am - 8pm Sunday 12pm - 6pm
It’s a new season and our 17th anniversary! We're featuring the All Media art show. We invite artists to submit their artwork, any medium, and any topic. A rich variety of art is selected for display and for sale in the main gallery. And three solo shows are on display:
Estamos en Mexico: A retrospective in Black and White by Tod Ramey
Muse: Abstract Paintings by Glenda M. Creamer
Horizons by Susan Crook.
Visit Tuesdays - Sundays 12 - 6 pm through October 17th, 2020. Admission is free and open to the public.
See you at the gallery!
Cash, AmEx, Visa, MC
Pick up tickets one hour prior to the show. Customers must present the actual credit card used to place the order and a photo ID.
(212) 221-1211
Monday - Saturday 10am - 8pm Sunday 12pm - 6pm
Tickets left at the box office for collection may be picked up on the day, during the hour before the performance starts. Please take the credit card used to make the booking and the Ticketmaster booking reference number as proof of purchase.
Ticketmaster UK: 0870 154 40 40, International: 00 44 161 385 3500
Monday - Saturday 10:00 - 18:00 and occasionally on Sunday.
Infra red hearing system with no deposit required. For special needs seating please call 0844 412 4648. Disabled toilet situated in the rear Stalls with ground level access There is no limit to the amount of Guide Dogs (within reason of course)
412-642-1800
During the Pittsburgh Penguins hockey season, the DICK'S Sporting Goods Box Office at PPG Paints Arena will be open: Monday – Friday, 10:00 AM – 5:00 PM and Saturday, 10:00 AM – 2:00 PM. Sundays that are event days will vary based on the event time but opening hours will always be 10:00 AM with the Box Office remaining open up through the start of the event.
Visa, MasterCard, Amex, Discover, Cash **Cashless transactions are highly encouraged to minimize contact.**
Box Office: 214-665-4797 Event Line: 214-665-4200 Parking Hotline: 214-665-4700 Dallas Mavericks: 214-747-6287 Dallas Stars: 214-467-8277
The Box Office is located on the North-East corner of the building (across from The Lexus Parking Garage). Due to the global coronavirus pandemic, the Box Office is operating under reduced hours. Please visit our website for the current hours of operation: www.americanairlinescenter.com. Concert tickets are not available for purchase at the American Airlines Center Box Office on the day of the public on-sale. Tickets for such non-team events may be purchased by the general public on the first day of ticket sales online at www.ticketmaster.com. Remaining available tickets for any concert/event following the first day of general public ticket sales will be available for purchase at the American Airlines Center Box Office on the next business day.
Box Office accepts: Cash, Visa, MC, Discover, Amex. Accepted methods of payments vary by event.
Orders are available for pick up the week of the event Tues-Fri 9am-5pm. Ticket Office is located on the SE corner of the stadium
Lucas Oil Stadium Ticket Office: (317) 262-3389 Colts Ticket Office (317) 297-7000
Mon-Fri: 9:00am - 5:00pm Sat-Sun: Closed Event Days: Varies by individual event-call box office.
Yes. Sold through the Stadium or Ticketmaster. Limited Seating. Elevators are available at this venue. Hearing devices are available upon request.
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.