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.
cash, visa, mc, amex & discover - no checks
TO PICK UP Will Call -- you must present your confirmation number, a picture ID and the credit card used to purchase your tickets. You must wait 48 hours after ordering to pick up your tickets.
For NRG Stadium information 832-667-1400.
Monday-Friday 10am-5pm Saturday 10am-2pm. Hours subject to change.
Are you searching for meaning? Do you wonder about the purpose of your life? Would you like to feel more in control and do you want to learn how to overcome fear and anxiety while you're at it?
Search no further, the answers are right here.
Every Monday from 12 to 1PM master Kabbalist and life coach Rabbi Shlomo Ezagui will hold a Lunch and Learn on Kabbalah
This is a feel good event catering to your soul and spirituality while pastrami and corned beef sandwiches cater to your stomach.
The satisfaction and fulfillment experienced on Mondays will last much longer than the 1 hour lunch and can transcend your life. Come feel complete and feed your soul every Monday 12 to 1PM with Rabbi Shlomo Ezagui Kabbalah Lunch and Learn.
(888)-714-7624
www.jewishsocial.org
Save the date... to Save September!
As we progress through the what was already a crazy year, we wanted to bring the community together to show we are back and stronger than ever! This new event will help Neopolitans see and taste their city in a whole new light.
Save September is a month-long restaurant-based event which gives the diner an opportunity to benefit from multiple dine in and takeout experiences, with tailored takeout menus while receiving gift cards to return to your establishment.
Save September is aimed to do 3 very important things:
1. Save local hospitality from the pitfall known as September
2. Encourage food enthusiasts to save at their favorite local hotspots
3. Give back to our hospitality professionals and other businesses affected by COVID-19
September is all about Taking-out, Dining-in and Giving back!
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For more information about this event, check out our Facebook: @SaveSeptemberSWFL
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. Must have valid photo ID and original method of payment (if applicable) to pick up will call. Name changes are not permitted. The United Center utilizes digital ticketing for all events. Tickets must be presented for entry on a mobile device. This includes season tickets, single game tickets or individual event tickets purchased online or forwarded by email or text through authorized outlets including Chicagoblackhawks.com, Chicagobulls.com, Unitedcenter.com, Ticketmaster.com or other United Center approved outlets. Mobile entry requires a valid, rotating SafeTix barcode or digital pass added to Apple or Android Wallet. Digitally altered or fraudulent tickets will not be accepted for entry
(312) 455-4500 (312) 455-4509 (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. *The United Center Box Office no longer opens for event public on-sales outside normal business hours
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 Guest Relations at 312-455-4509 (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.
Cash and All Major Credit Cards
Must have photo ID & credit card used to purchase tickets when picking up will call tickets
1-702-777-2782 or toll free at 1-855-234-7469
Accessible ramps to orchestra & mezzanine sections; Elevator service to balcony
Visa, MC, Discover and AMEX or local preprinted checks more than 10 days before an event with valid drivers license.
Tucson Convention Center Information line: (520) 791-4101 Ticket orders are not taken at this number.
1 Box Office Hours are: 10:30 am - 5:30 pm Mon - Fri and 2 hours before an event
Accessible Seating available either on main floor or at the top of the arena, depending on event.
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.