Get Ready for the Next Event. Look when it's starts

Disney On Ice presents Into the Magic

Cash, MC, Visa, AMX, DSC. *All credit card transactions require a matching ID. Credit Cards without a Name matching and ID will not be accepted. * 478-751-9232 The Box Office is open at the Macon Coliseum on Tuesday, Thursday, and Friday from 10:00AM to 5:00PM. Closed Saturday and Sunday, except Event Days. On Event Days, the Box Office opens 3 hours prior to show time. This venue is accessible.

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Hamilton (Touring)

Cash, Debit, American Express, MasterCard & Visa. The Box Office is located on the Canal Level. Note: Please arrive at Box Office early if picking up tickets. Customers must present the actual credit card used when placing the order and photo ID. Toll free: 1.844.985.ARTS (2787) Parking: 613.947.7000 Ext 488 / Toll Free 1.866.850.ARTS (2787) Ext 488 Lost And Found: 613.947.7000 Ext 212 / Toll Free 1.866.850.ARTS (2787) Ext 212 1 Elgin (formerly le café): 613.594.5127 Monday to Saturday: 10:00 am to 9:00 pm Sundays & Holidays: Closed except when a performance is schedule, the Box Office will open 2 hours prior to curtain until 15 minutes after the curtain time of the last performance. Please Note: The NAC Box Office is NOT a Ticketmaster Ticket Centre. The NAC Box Office sells tickets for NAC performances only! This includes shows presented at the NAC by other promoters and shows sponsored by the NAC but held elsewhere. Please Note: The NAC Box Office is NOT a Ticketmaster Ticket Centre. The NAC Box Office sells tickets for NAC performances only! This includes shows presented at the NAC by other promoters and shows sponsored by the NAC but held elsewhere. Special tickets are available for patrons in wheelchairs, as well as for the visually impaired. For availability, please contact the NAC Box Office at 1.844.985.ARTS (2787). Seating for patrons in wheelchairs may also by purchased online. Visit https://nac-cna.ca/en/visit/accessibility for information regarding venue accessibility.

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Il Meglio di Te

Un evento dal vivo per scoprire come accedere al tuo potenziale e vivere la vita che desideri Luogo: Hotel President (via Emanuele Filiberto 173, Roma) / Posti disponibili: 20 / Data inizio corso: 21 dicembre 2019 (ore 9,30) - Data fine corso: 21 dicembre 2019 (ore 18,30) / Durata: 7 hrs / Prezzo: 147.00€ (iva inclusa)Offerta: Donazione (Natale benefico)

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Capitals vs Hurricanes (Hawaiian Shirt Giveaway - All Fans)

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.

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Tales from the Loop - par Footbridge

Les années 80 comme vous ne les avez jamais vécues... Si vous avez aimé Stranger Things, Les Goonies, E.T., alors Tales from the Loop est fait pour vous ! Dans ce jeu, vous jouerez une bande d'enfants dans des années 80 alternatives qui seront confrontés à des phénomènes étranges et à des créatures surnaturelles. Au fil des saisons, nous jouerons une série de 4 one-shots interconnectés (proposés dans le livre de base) qui peuvent être joués indépendamment mais qui mis bout à bout raconteront une seule même histoire. Le troisième one-shot est un mystère hivernal qui sera joué le 19 décembre. Il n'est pas obligatoire d'avoir joué les scenarios précédents pour se joindre à la partie. Les places pour cette partie de jeu de rôle sont limitées donc merci d'annuler votre inscription pour libérer la place si vous avez le moindre imprévu Cet événement sera potentiellement photographié pour être relayé sur Next Gaymer, sur ses réseaux sociaux et sur d’autres supports de communication. L'objectif est de présenter la superbe ambiance de notre association pour inviter de nouvelles personnes à la rejoindre ! Vous êtes informés et votre participation à l'événement fait donc office de consentement, merci ❤ ! L'évènement a lieu dans un bar à jeux dans le 11e arrondissement : il est obligatoire de suivre les règles de fonctionnement du lieu qui nous accueille N'hésitez pas à devenir adhérent de l'association pour soutenir ces soirées et les suivantes : http://nextgaymer.com/adhesion

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Cincinnati Bengals vs. Kansas City Chiefs

The box office accepts cash, Visa, and MasterCard and Discover. Will Call is located on the north side of the stadium. Customer must present actual credit card, confirmation number, and photo ID. Bengals office: (513) 621-TDTD (8383) Tickets to non-Bengals evnets are NOT available in advance at the Box Office. No special seating arrangements are available through the Box Office. Non-Bengals events tickets are available at Paul Brown Stadium only on the Day of the Show. For the Bengals Box Office: Mon-Fri: 9:00am to 5:00pm Day of game: 3 hours prior to kickoff to halftime For all other Stadium events: Box Office hours for all non-Bengals events may vary on the day of the event Accessible seating: for Bengals games refer to box office (513) 621-TDTD (8383). For Music/Jazz Festival refer to (513) 924-0900. For all other Paul Brown Stadium events refer to Ticketmaster 1-800-745-3000.

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Colorado Rockies vs. Los Angeles Dodgers

Types of payment accepted are Cash, Check, Visa, MasterCard, American Express and Discover. Will Call is defined as tickets left by the Colorado Rockies, tickets purchased via mail, online or telephone orders that were not mailed, and tickets left by a third party. Will Call is generally available during regular ticket office hours at the Coors Field Main Ticket Office at 20th and Blake Streets. Guests must present a photo I.D. to pick up tickets. Tickets must be left under the name of the person who will pick them up. If there is a need to change the Will Call name, the Guest must contact Will Call prior to game time at (303) 292-0200. Call (303) ROCKIES for all your inquires. After February 11, 2012, regular ticket office hours are Monday through Friday, 9:00am to 6:00pm, and Saturday, 9:30am to 4:00pm, with extended hours on home game days, remaining open until approximately 30 minutes after the conclusion of the game. Sunday home game days only, the ticket office will open at 9:00am remaining open until approximately 30 minutes after the conclusion of the game. There are approximately 1,000 accessible and companion seats available throughout Coors Field. When purchasing seats, please indicate to the ticket seller (whether ordering by phone or in person) that you require accessible seating. If you are mailing your order, indicate this request on your mail order form. Even though a game may be "sold out" for other areas, there may still be accessible and companion seating available. Despite the "sold out" status, unsold accessible and companion seating will remain reserved for persons with disabilities, with the following exception: on the day of a sellout when there are enough seats to meet the needs of our Guests with disabilities, a percentage of the unsold accessible and companion seating may be made available to the public. The remaining inventory will continue to be reserved for our Guests with disabilities. Additionally, please note that only certain areas will be sold, and there is not a specific time they will be available.

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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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The Savoy Hotel - Glass of Bubbly Show 2020

London's biggest and best Champagne, Sparkling Wine and Food Pairings Trade & Press Tasting - The Savoy Hotel! Discover some brand new flavours and wineries along with keeping up to date with some of the bigger houses. A day full of tastings fine fizz and a selection of masterclasses make this a must visit for your wine calendar 2020. Stands remain priced at £800 + VAT for wines. Be sure to book early and grab yourself a masterclass to showcase in detail your wines. This is a trade, press and social media event only - We are sorry, but it is a ticket event (free) only for those within the trade, no consumers. If you wish to find out more then simply visit our website today: https://www.glassofbubbly.com/tasting-events/

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Sesame Street Live! Let's Party!

Visa, Mastercard, American Express, Discover, Cash Pick up tickets one hour prior to event. Customer must present the actual credit card used to place the order and a Photo ID. To inquire about Terrier Season Tickets for hockey or basketball, please call 617.353.GOBU(4628) Skip the service fees. Buy tickets at the box office! To purchase tickets by phone, call Ticketmaster at 800-745-3000 Regular hours: Monday through Friday, 10:00 am to 5:00 pm. Saturday and Sunday On sales: Open at On sale time and will remain open for approximately 2 hours. Event Day: begin at 10:00 am for concerts and family shows and run until the headliner takes the stage. For Terrier athletic events: 12:00 pm for will call and ticket sales. Open through the second period of hockey games and half time of basketball games. Agganis Arena fully complies and exceeds all requirements as set forth in the American Disabilities Act. If you require accessible seating while at an event, please visit Guest Services located on the concourse near section 101. The Arena offers accessible and companion seating located on the Concourse and Event levels for all events. (Accessible seating locations are subject to change based on the seating configuration for various events)

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