Cash, 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.
These gift certificates are good for any ticketed event at La Centrale's cooking studio La Cucina.
We offer different classes at different price points
$60.00 Classes include
Pasta 101
Pasta 102
Risotto 101
Hands-On Neapolitan Pizza Making
Mixology 101
Cakes 101
French Macarons 101
Breads 101
Introduction to the world of wine
$75.00 Classes Include
Steaks & Searing
Chicken Methods
Sous Vide 101
Fish Butchery
Are you a recipient of the gift card? Redemption is easy.
1. View our classes at https://www.lacentralemiami.com/cooking-studio/
2. Select a class a click the link to reserve your space
3. Enter promotional code LACUCINACERTIFICATE to reserve your class
4. Before your class, please PRINT your ticket and bring with you for admission.
ASEAN’s Most Comprehensive Exhibition on Mold & Mold Components Making Technology - 28th Edition
Only shows in ASEAN to focus on Mold & Die Manufacturing. Enhance your brand visibility among prospective target groups and overseas delegates. Opportunity to expand your market base through networking with a variety of industries.
For more information please visit show website http://www.intermoldthailand.com
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.
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Tickets purchased in advance can be left at the Will Call Window, located on the north side of the Arena next to Gate 3. • Valid ID required to pick up Will Call Tickets
Miami HEAT & Arena Event Sales Information: • Miami HEAT Season Tickets & Partial Plans – (786) 777-HOOP • Miami HEAT Group Tickets – (786) 777-DUNK • Miami HEAT Premium Seats (Courtside/Flagship/Suites/Loges) – (786) 777- 4320 • Arena Event Suite Sales – (786) 777-1000 • Group Ticket & Fundraising Opportunities for Arena Family Shows (786) 777-4FUN (4386)
Ticket Office hours are Monday – Friday, from 10:00 AM to 4:00 PM. Hours may be extended on event days. Arena Box Office Information – (786) 777-1250
This is an accessible venue.
The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICAMW 2020: 14. International Conference on Aviation Meteorology and Weather aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Aviation Meteorology and Weather. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Aviation Meteorology and Weather
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.
The Box Office accepts MasterCard, Visa, Discover, American Express, and Cash.
Box Office Phone Number: (313) 471-7929
The Box Office is open Monday through Friday 9:30 AM to 6:00 PM. On Saturday 9:30 AM to 4:00 PM. On event days, 10:00 AM until ½ hour before scheduled event end. Closed non-event Sundays.