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.
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.
„NIGHT FEVER - The Very Best Of The BEE GEES“
„NIGHT FEVER - The Very Best Of The BEE GEES“ gilt als eine der erfolgreichsten und authentischsten BEE GEES-Tribute-Shows weltweit. Keine andere Band kommt dem Original so nah. Sie haben es sich zur Aufgabe gemacht, die Hits der Bee Gees so authentisch und perfekt wie möglich zu interpretieren und dabei trotzdem der Show ihre persönliche Note zu verleihen.
Mehr zur Band --- Bee Gees Show
Zum Musiklokal --- Musiklokal Südbahnhof !!! ACHTUNG - Keine SITZPLATZGARANTIE !!!
Einlass 11:00 Uhr
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.
412-642-1800
During the Pittsburgh Penguins hockey season, the DICK'S Sporting Goods Box Office at PPG Paints Arena will be open: Monday thru Friday, 10:00 AM to 4:00 PM and is closed on Saturdays and Sundays with exception of event days. The Box Office is currently closed until further notice. Fans interested in purchasing tickets for events at PPG Paints Arena can go to www.Ticketmaster.com On an event day, the Box Office hours vary. Hours are subject to change as a result of event times, holidays or inclement weather. Please call 412-642-1800 for more information.
Phone number to be announced.
Box Office hours of operations to be announced.
Cash, AmEx, Visa, MasterCard
Will Call and Ticket pickup policies and procedures to be announced.
Location: Wheelchair accessible and companion seats are available at locations dispersed throughout Nassau Coliseum, offering guests the choice of an array of prices, amenities and lines of sight. Seating locations vary depending on particular events. It is important to indicate when buying tickets if you require wheelchair accessible seating. Service animals are animals individually trained to do work or perform tasks for the benefit of an individual with a disability. Guests with disabilities are welcome to bring their service animals inside Nassau Coliseum. Service animals may not use additional seats unless a ticket has been purchased for the adjacent seat, but may request accessible seating.
A Linkedin Nap nyegyedévente jelentkezik.
Bánki Tamás (DrLinkedin alapítója, SociaLion.agency alapítátársa, Linkedin és B2B Sales és Marketing szakértő) mellett társa Mattyasovszky L. Norbert (SociaLion.agency alapítátársa, LikeBike.hu, LikeBikeLeasing.hu alapítója, PPC marketing szakértő)
Célunk a Linkedin hatékony használatának bemutatása és elsajátításának segítése
MENETREND:
1. Érkezés /Registráció2. Bemutatkozunk - mindenki, mindenkinek
Kávé
3. Linkedin és a Munkaerő áramlás4. Linkedin és a B2B
Ebéd
5. Linkedin és a Networking6. Linkedin Networking offline: a Linkedin Local bemutatása
Már nem kérdés, a Linkedinen kell. Egyre többen és többen használják a Linkedint, ugyanakkor még mindig sok hiányosságot lehet látni a felhasználás terén.
2019-ben a Linkedin adatai szerint 1.000.000 rendszeresen, hetente belépő Linkedin felhasználó van már Magyarországon. Ami több mint a 30%-a az összes magyar munkavállalónak, ha bízunk a KSH adataiban.
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/
Cash, Visa, MasterCard, Discover, American Express
Will Call will open 3 hours prior to an event.
301-276-6000
Monday thru Friday..... 9am - 5pm Box office will open 3 hours prior to an event
For Accessible Seating please call (301) 276-6000
Cash and All Major Credit Cards
MUST HAVE PHOTO I.D. & CREDIT CARD USED TO PURCHASE TICKETS WHEN PICKING UP WILL CALL TICKETS
(702) 733-3111 1-866-574-3851 - Group Sales (10+)
Box office hours: 11:00AM- 10:30PM Group sales hours: M-F 9:00am – 5:00pm
To better accommodate your needs the box office has requested that special seating accommodations be solicited through their representatives.
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.