Join the Folk Music Society of NY, Inc. (NY Pinewoods Folk Music Club). Receive our newsletter which lists not only our own events but Folk Music events all over the metropolitan area. Membership includes reduced admission to our concerts (not for long-distance members) and discounts on admission to our other events and weekends. Donations in any amount are also welcome
read moreAccepted forms of payment are: VISA, MasterCard, Discover, American Express, and Cash. Will Call is located at the main entrance of Simmons Bank Arena. Tickets held for Will Call can be picked up after 5:00pm or 2 hours prior to the event on the night of the show only. Customers must have their order number, picture ID and the actual credit card used to place the order. Simmons Bank Arena Box Office: 501-975-9000 Group Sales: ALL OTHER GROUP INFORMATION: 501-975-9131 Monday - Friday 9:30AM - 5:30PM This is an accessible venue.
read moreJoin us for Summer Art Camp! June 29-July 31st from 9:00am-3:30pm *For grades 1st-8th Morning, Afternoon, and Full Day availability. We are carefully following all CDC guidelines and protocols at this time. Learn more and enroll today by visiting arttrek.org/summer-camp/
read moreA 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.
read moreCash, American Express, Mastercard, & Visa. Will Call is located at the Box Office. Box Office Telephone: 323-468-1770 The Pantages Box Office opens daily at 10am. NO ONE UNDER THE AGE OF 5 ADMITTED There is no elevator in the Pantages Theatre. Disabled seating is reserved for the exclusive use of the disabled patron and their companion. The purchase or use of disabled seating locations by non-disabled individuals is strictly prohibited and may result in ejection and/or forfeiture of the ticket price.
read moreVISA, MASTERCARD, DISCOVER, AMERICAN EXPRESS & CASH The Coyotes Pick-up Window is located outside the Northeast corner of the Arena near Gate 5. Guests picking up will call tickets must present valid photo ID and credit card used for purchase, if applicable, that matches tickets to be picked up. ALTERNATE PICK-UP: If another person, other than the person ordering & paying for the tickets, is picking up a WILL CALL order, the ALTERNATE PICK-UP name MUST be on the account. To get the alternate pick-up name noted on the account, the original purchaser MUST contact Ticketmaster at 800-745-3000, ask for customer service, verify account information and request alternate pick-up. Please call TICKETMASTER for event and ticketing information - 1-800-745-3000 For Additional information call Gila River Arena Box Office - 623-772-3800. WEBPAGE: www.gilariverarena.com Located outside on the Northeast corner of the Arena. Monday – Friday: 10:00AM – 6:00PM Saturday: 10:00AM – 4:00PM during hockey season and on-sale days. Sunday: Closed except on event days. Box Office hours may be extended for on-sales or on event days. Arizona Coyotes: To purchase accessible seats for Arizona Coyotes, subject to availability, please call the Arizona Coyotes Ticket Office at 480-563-PUCK (7825) or visit the Gila River Arena Box Office. Arena Concerts and other Events: To purchase accessible seats for a concert or other event, subject to availability, please call Ticketmaster at 1-800-745-3000 for phone purchase or www.ticketmaster.com for on-line purchase, or visit the Gila River Arena Box Office. ACCESSIBLE SERVICES: Requests for Sign Language Interpreters should be made at least 72 hours in advance of the event. Call Guest Services at 623-772-3240 for these arrangements. Assistive Listening Devices are available from the Gate 5 Guest Services Booth. Parking Lot G located on the east side of the Arena is available for disabled guests with state issued license plates or placards. Parking Attendants will direct guests to the disabled parking area. All restrooms and concession stands are accessible. Gila River Arena welcomes service animals utilized by guests with disabilities.
read moreSAT courses which will take place between December 14, 2019, and March 13, 2020, will be given in classes of up to 8 people.
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