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IMAGINE DRAGONS

Salut Salon

Johan Cruijff ArenA Stadium Tour

Johan Cruijff ArenA Stadium Tour

Anaheim Ducks vs. Chicago Blackhawks

American Express, Discover, MasterCard, and Visa are accepted. Honda Center is a cashless venue. A photo ID matching the name the tickets are placed under is required. VIP, Artist, Promoter, or other special will call requirements and locations are subject to change. Will call windows are located at the Box Office. Will call is generally available beginning 1-1/2 hours prior to the event, and closes after the start of the event (after the first intermission for Anaheim Ducks games). Late pick up will be available at the East Entrance after the box office closes. Box office phones are answered during regular box office hours. Please note, the box office does not sell tickets by phone. Call (714) 704-2500 for general information Monday through Friday 10am to 3pm. The box office will remain open through the beginning of weeknight events. On event Saturdays and event Sundays, the box office will open three (3) hours prior to the event and remain open through the beginning of the event. The box office is located on the east side of the building, near the East Entrance, facing the Santa Ana riverbed. Wheelchair accessible seating is available in most areas of Honda Center including Plaza, Club, and Terrace levels. Availability of locations is dependent upon event seating configuration. For availability and exact locations based on a particular event, please toggle the Accessibility icon in the seat map filters on the Ticketmaster.com event page. The box office will have the same availability as Ticketmaster. Please note, semi-ambulatory or limited mobility seating is also available and requires the guest to navigate some steps. Wheelchair accessible seats have no steps. Hearing Impaired Guests: Assistive listening devices are available, with a picture ID as a deposit, at the Guest Services Desk located at Section 214. Requests for sign language interpreters must be received at least 14 business days prior to the event you are attending. To arrange for courtesy sign language interpreters, please either email accessibilityservices@hondacenter.com or call 714-704-2400. For a full list of ADA policies, please visit https://www.hondacenter.com/arena-info/ada-accessibility/

Disney On Ice presents Find Your Hero

Cash...AMX...Visa...MC...Disc TBD TBD TBD Patrons can call TBD ask for the box office. Wheelchair seating avaiable through Ticketmaster.

Christmas Day Lunch - Brasserie Abode Manchester

FIVE COURSES & CHAMPAGNE £99 The ultimate stress-free Christmas Day celebration, with all the fun and even better, no clearing up afterwards. Let our team spoil you in our glamorous brasserie. Start with a glass of Champagne, then luxuriate in our sumptuous five-course menu, coffee and mince pies, with little extra festive touches like crackers and novelties.  CHAMPAGNE — TRUFFLED WILD MUSHROOM SOUP Tarragon crème fraiche — SALMON TARTARE Iced fennel and orange caviar — ROAST TURKEY Chestnut & sage stuffing, sprouts, roasted roots and all the trimmings — TUNWORTH CHEESE Fig ball and Quinta do Crasto 2013 LBV port — CHRISTMAS PUDDING Classic Christmas pudding with Cognac custard — COFFEE & MINCE PIES To confirm your booking, we will ask for a £50 per guest non-refundable, non-transferable deposit which will be used against the cost of the meal. Full payment of £99 per guest for all bookings is 6 weeks prior to the event date. Vegetarian and vegan menus are available on request.

New York Yankees v. Los Angeles Dodgers * Premium Seating *

Please check yankees.com for updated information including a Yankee Stadium Ticket Office schedule.

Introduction to Firearms

Students will learn basic firearm safety and storage, safe firearm handling, firearm parts and components, differences between revolvers and semi-automatic pistols, ammunition safety, parts and types, and firearms loading/unloading. Students will learn the fundamentals of marksmanship, isosceles shooting position, weapons safety principles, handgun disassembly, weapons loading/unloading, purchasing a firearm, selecting ammunition, and the importance of gun cleaning. Students will also practice handling and dry firing a Shot Indicating Resetting Trigger (S.I.R.T.) laser simulated firearm that effectively allows students to practice shooting fundamentals with a laser firearm in a classroom setting.  3 hour class $50 For more information, please visit the website @ www.jmddefense.com

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.

Disney On Ice presents Dream Big

The Box Office accepts Visa, Mastercard, Discover,cash and checks for family shows only. Will Call tickets can be picked up after 6PM at the Box Office. Customers must present the actual credit card, a picture ID and the confirmation number. (859) 233-3535 The Box Office hours are as follows: Monday through Friday - 10AM to 6PM Saturday & Sunday - Closed Day of show - 12PM until 1 hour after show time Rupp Arena is handicap accessible. Seating is available at the Box Office and through Ticketmaster. For more personalized assistance please contact the box office at 859-233-3535. For University of Kentucky Basketball, call 800-928-2287.

Charlotte Hornets vs. Toronto Raptors

American Express, MasterCard, VISA, Discover Card 704-688-8600 For general group sales questions for Spectrum Center: 704.688.9047 Friday's 10AM-4PM This venue is accessible. For sight impaired and hearing patrons please contact the Box Office. Spectrum Center is committed to providing every guest with a comfortable and enjoyable experience. The arena is one of the most accessible arenas in the U.S. Seating throughout the venue allows guests with accessible needs flexibility in seat locations and price levels.