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Hamilton

Boston Bruins vs. New Jersey Devils

Cash; Check up to $100.00 w/Mass. Driver License; AMEX; Visa; MC; Discover; Diners Club Pick up tickets starting 2 hours prior to event time. Customer must present the actual credit card used to place order and a photo I.D. General Info Number:(617) 624-1000 Group Sales (only!): (617) 624-1805/1806 Bruins (617) 624-BEAR (Groups = 25+) Celtics (617) 523-3030 (Groups = 20+) Please do not contact Group Sales regarding sold out games! TD Garden - Boston | Tickets, Schedule, Seating Chart, Directions (ticketmaster.com) The box office will open 2 hours prior to an event and remain open until one hour after the event begins. Please note the TD Garden Box Office does not sell tickets at the public on sale. All tickets should be purchased via www.ticketmaster.com *Hours subject to change This is an accessible venue.

Disneys ALADDIN in Stuttgart

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.

Hamilton (NY)

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

Mad Sin

New York Yankees v. Texas Rangers

Shania Twain: Queen of Me Tour

Mastercard/Visa/AMEX/Cash Tickets can be collected from the SEC Centre box office on the day of the event from the advertised doors opening time. Please take the payment card used to make the booking and your Ticketmaster reference number The OVO Hydro box office opens one hour before doors to the arena opens and closes 30 minutes after the main act starts or at the end of the interval, unless otherwise stated. Accessible tickets can be booked online, or you can call 0141 576 3230 (replaces 0800 952 0110 temporarily) (open Mon-Fri 9am-2pm). Need help with your order? If you booked online via Ticketmaster, you can view their help section here or access 24hr support for specific orders in your online account. More information about how to access your online account is available here. If you booked over the phone, or in person with SEC, please email booking.enquiries@sec.co.uk or use our contact page The Box office opens at 3pm on the day of the event and closes 15 mins after the main act takes to stage, unless otherwise stated. Tickets can be purchased online 24 hours a day at www.ovohydro.com (powered by Ticketmaster). Accessible tickets are available to book online, but for larger or more complex groups, please call our dedicated accessible booking line on 0141 576 3230 (replaces 0800 952 0110 temporarily). The venue is easily accessible for visitors with mobility difficulties and accessible needs and currently holds an Attitude is Everything Gold award for access. The first two floors of OVO Hydro are fully accessible with lifts and automated doors. Important: There is no lift to the 3rd and final floor of the venue, there are stairs along with handrail assistance to gain access to this floor. Please take this into consideration when booking tickets. People with mobility issues are recommended to book tickets on the ground, level 1 or level 2 front, as these have lifts to access. All Entry doors East, South and West into the Hydro are wide for easy access. Broad, flat, accessible concourse The venue has multiple accessible toilets and one fully equipped Changing Place with ceiling hoist, changing bed and height adjustable basin. Entry is by RADAR key visitors can use their own or ask a steward to unlock for them. The venue offers a wide range of additional accessibility services, such as sunflower lanyards, sensory packs, infra-red induction loop, etc. For more information visit the venue website at www.ovohydro.com

Los Angeles Lakers vs. Golden State Warriors

STAPLES Center does not accept Will Call drop off. Alternate Will Call Procedure (Alternate Pick Up) If a person (other than the person ordering and paying for the tickets) is picking up a Will Call order, the Alternate Pick-Up's name MUST be on the account. To add the name of an alternate pick-up to the account, the original purchaser must contact Ticketmaster Customer Service at 1-800-745-3000, verify their account information and request the addition an alternate pick-up. 213-742-7340 Box office is located on North side of building at 11th and South Figueroa. Box office hours are 10am to 6pm, Monday through Saturday. It is open extended hours on event day. Phone: 213-742-7340 SUMMER HOURS Closed Saturdays and Sundays unless there is an event, the box office will open at 9am on Saturdays or 10am on Sundays only if there is an event. The box office will have extended hours on all event days.

St. Louis Blues vs. Chicago Blackhawks

Box Office Accepts Cash, Money Orders, MasterCard, Visa, American Express, Discover and Diners Club Card. Customer must present actual credit card used to place the order, the confirmation number and a photo ID. Tickets held at Will Call may be picked up beginning 2 hours prior to show time. See Miscellaneous Info section for phone numbers. Service Hours: The Enterprise Center Box Office is currently open Monday-Friday 10:00am-5:00pm. Short-term parking is available in front of the building, or in the garage attached to Enterprise Center. Enter the garage from Clark Avenue or 16th Street. Cash is accepted. Checks and credit cards are not accepted for garage parking. DOORS OPEN: -60 minutes prior to game time for Blues -Other events vary by show PERSONS WITH DISABILITIES: Please call Enterprise Center at (314)622-5420 to reserve seats. To arrange seating for a group with special needs, please call Enterprise Center Group Sales at (314) 622-5454. SEATING: Enterprise Center has an ample number of reserved seats for guests with disabilities dispersed throughout the plaza, club, mezzanine and penthouse levels as well as the event level for concerts. One companion seat is available for each seat reserved for a guest with a disability. These seats are provided in a wide variety of price ranges for all events. All seats for guests with limited mobility have been selected to allow convenient entry and exit, as well as for accessibility to restrooms and concession stands. In addition, Enterprise Center's private suites, club seats and private restaurant are accessible to guests with disabilities. TICKET SALES: Tickets to Enterprise Center events are sold to persons with disabilities on a first-come, first-serve basis. When purchasing tickets, please inform your ticket seller about any needs that may require accommodation, including companion seating or use of a service animal.

Hamilton