Cash, Visa, MC, AMEX and Discover. Avoid will call lines. Download the Utah Jazz + Vivint Arena app to easily purchase, transfer & sell tickets. Located at Main Ticket Office Will Call generally opens 2 hours prior to event time. Doors open for most events 1 1/2 hours prior. Vivint Arena (801) 325-2000 Utah Jazz (801) 325-2500 Open from 9:00am-5:30pm, Monday-Friday. Open Saturday and Sunday for scheduled events and on sales. Located on Northeast side of Arena (plaza level).
read moreA 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.
read moreYour FREE Galleries Ticket will allow you unlimited access on the day of your visit to all the displays open in our Permanent Galleries and the Wharf 7 Heritage Centre. You can also access our popular Cabinet of Curiosities when programmed (suitable for all ages) and our Mini Mariners Play Space - designed especially for children under age 5. To access everything the mueum has to offer including special exhibitions and our fleet of vessels please purchase a Big Ticket. Ticket is valid any day and for 12 months from date of purchase. More information See our Plan Your Visit page for everything you need to know about a trip to the museum. Download our Visitor App now, before you come to the museum.Take it for a test drive today and discover just how much there is to discover - for free.http://www.anmm.gov.au/visit/app Become a Maritime Museum Member and receive FREE or discounted entry to all our events and exhibitions, as well as many other benefits. Receive our e-newsletters for the latest news including special offers, advance bookings, sneak previews and more. Connect with us on Facebook, Twitter and Instagram for updates and to join the conversation.
read moreCash / Cheque / Visa / Mastercard / American Express / Laser While this can vary depending on the event, generally you can collect tickets in advance, or else on the day before the show. Bring the card the tickets were booked under, and the Ticketmaster reference number. If there are stricter rules for particular shows (for example, only the cardholder can gain entry with card, ID etc), this will be outlined upon booking. Olympia Box Office enquiries: (+353) 1 679 3323. To speak to a representative for information only, no bookings can be taken over the phone. Ticketmaster Booking Line for The Olympia: 0818 719 330 from Republic Of Ireland, for the UK and NI please call 0844 847 2455. Special Needs Booking Line:(+353) 1 516 9056. Opening times are subject to performance schedule, however generally the box office is open from 10.30am to 6.30pm from Monday to Saturday. If there is a show on that evening it is opened until shortly after the show has commenced. If there is an event on a Sunday, the box office will be open 2 hours before the show starts, until shortly after the show has commenced. The staff at The Olympia Theatre will look after any dedicated special needs queries you might have, you can call them on our Special Needs Booking Line (+353) 1 516 9056, or email specialneeds@olympia.ie. If you have a special accommodation request (e.g. wheelchair seating, medical needs, hearing or sighting impairment) please feel free to discuss with us and our staff will do everything we can to help.
read more MOVIE " " (A) - Touchmark Fargo - Sun Oct 18 at 7:00PM Fargo ND - http://touchmarkfargo.com/
source categories: localonly
event syndication by Syndical.com
from Account: syn-touchmarkfargo
The United Center Box Office accepts Cash, Visa, MasterCard, American Express and Discover Card. Tickets held at Will Call can be picked up beginning 90 minutes prior to the start of the actual event. E-TICKET /PRINT AT HOME & MOBILE TICKETING If you chose Print-at-Home as your delivery method, your tickets will be sent to the email address used at the time of purchase in the form of a .pdf and must be printed on paper in advance for entry. Print at Home tickets cannot scanned at the venue from a mobile device. Choosing mobile entry allows the convenience of using your smartphone as your game ticket. You no longer need to bring your physical tickets to the game. This includes season tickets and single game tickets purchased online or forwarded by email through authorized outlets including Chicagoblackhawks.com, Chicagobulls.com, ClickTix, Ticketmaster.com or other United Center approved outlets. Mobile entry requires a valid QR code. (312) 455-4500 (312) 455-4519 (TTY) Monday-Friday, 11:00 a.m. until 6:00 p.m. Saturday, closed if no performance Sunday, closed if no performance *Hours subject to change depending on event schedules. Not only is the United Center designed to 100% ADA compliance, but each team member has been specifically trained in assisting our guests with special needs. Should you have any questions regarding the accessibility of the arena or for ticket information, please call 312-455-4653 and ask for Guest Relations (312-455-4519 TTY). Tickets in wheelchair accessible areas are available on all levels of the United Center, and the arena offers 100 disabled parking spaces located in parking Lot G off of Damen Avenue. All washrooms, restaurants, first aid station, seating areas, Cash Stations, box offices, Concession stands and drinking fountains are all wheelchair accessible.
read moreLegalex is the UK’s leading event for law firms and legal professionals who are looking for business growth and professional development and it is returning to the ExCeL London March 18th and 19th 2020 and is still a free-to-attend event. Legalex brings together over 200 cutting-edge suppliers, 150 expert led fully CPD accredited seminars, and over 3,500 legal professionals under one roof for two days that will be changing the future of the legal business sector. This is the place to discover the innovations that will be helping firms and legal professionals around the world, improve, expand, and modernize. It is a truly unmissable event for anyone looking to develop their legal business and safeguard its future. Register for your free ticket now via www.legalex.co.uk Alternatively, if you are interested in exhibiting at Legalex 2019 please call Sam Smith on 01872 218 007 or email sam.smith@prysmgroup.co.uk.
read more The International Research Conference Aims and Objectives The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers. ICCET 2020: 14. International Conference on Construction Engineering and Technology aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Construction Engineering and Technology. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Construction Engineering and Technology