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2020 ULTIMATE DISCO CRUISE

So Nice ~ Do It Twice! The Ultimate Disco Cruise sails again in 2020  DON'T MISS THE BOAT IN 2020 YOU DO NOT WANT TO MISS THE ULTIMATE DISCO CRUISE! Cruising out of Miami next year:  FEBRUARY 10 - 15, 2020  The Inaugural sailing of the Ultimate Disco Cruise 2019 was a GAS AND A HALF!!  Wish you were there to take in all the entertainment, the artist / guest interviews, the themes and glitter costumes, a whole ship full of awesome party people, all of the dancing, and so much more, in addition to riding the waves aboard the modern luxury of the Celebrity Infinity; oh, did anyone mention the food or the ports of call or, my fav, the excellent customer service the ship's crew provided and so much more. Whew!  Okay, to sum it all up in a nutshell: You would have loved the VIBE!!  This ultimate party at sea will entertain you in so many ways in addition to the over 40 live performances from the great superstars of the disco era that will keep you groovin' all day and all night long.  Get to know your favorite legends through panel discussions and artists sessions and many more disco inspired events.  There will be themed nights, dance parties, dance classes, talent competitions, trivia contests, karaoke, and much more to keep you entertained. Come join us for the ultimate dance fever at sea and boogie on down! (I want to put on my my my my my boogie shoes ...) Get onboard in 2020 and dance the night away as we hustle back to the late ‘70s and relive everything that made the disco era such a special time in our lives. Enjoy over 40 LIVE performances and 20 celebrity interactive events with some of your favorite artists that made the disco era one of the most unforgettable times of your life.

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Twenty Little Working Girls: 2019-2020 Membership Dues

Twenty Little Working Girls is Miami's largest membership service organization founded in 1953. Girls are proposed for membership based on volunteerism, academics, and willingness to serve the community. Individual club members annually donate at least 20 community service hours through various opportunities provided by the club. Additionally, the club hosts activities and social events which enable the members to get to know girls from other schools. Membership dues supports the above programming and, together with additional funds raised by the club, enable the club to award grants every year to nonprofit organizations. Past recipients of Twenty Little Working Girls grants include Boys & Girls Club, Breakthrough Miami, Camillus House, Casa Valentina, Glory House, Kristy House, Lotus House, Touching Miami with Love and many others.

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How to Spot, Clean & Maintain Carpet (Hands-On) * 1/22/20 * ORLANDO

The class is limited to 10 individuals, so sign up early to get a seat. Carpets are considered, by some, to be more of a health concern than the restroom in a building. Learn why and how to maintain this floor surface in a healthy manner.  Most modern carpeting is comprised of man-made fibers that are very durable. When maintained properly, they can withstand years of heavy use. It is important to understand though, unlike hard surface floors, the dynamic nature of carpeted flooring can hold a significant amount of dirt and contaminants before becoming visually apparent. Course Material includes topics such as: -Green and Healthy Carpet Cleaning -Carpet Maintenance Programs -System Performance Attributes -Prevention of Carpet Soiling -Identification -Dry Soil Removal -Spotting -Low Moisture Routine Cleaning -Low Moisture Restoration Cleaning -Wet Carpet Cleaning -Encapsulation Cleaning -Carpet Cleaning and VOC's Who will benefit: -Property Managers -Building Service Contractors -In-House Service Providers   Handbook, Lunch, and WiFi are provided.   An Accreditation certificate is provided upon completion of an exam.   Class sponsored by:

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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.

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PIE TEMPLATE

What are they?Parents' Information Evenings introduce parents to nursery life and are a great opportunity to meet the Dicky Birds team and ask lots of questions! Who should come along?Parents thinking about joining, waiting to join, who are very new to Dicky Birds OR who have 2nd/3rd chicks joining the nest! Parents are welcome to bring along friends and relatives. When do they take place?:On various evenings throughout the year at 7:30pm to 9:30pm - for dates see below for details. Where do they take place?:At either our Claremont Hall and Brighton Road nurseries in Surbiton or our Dundonald Road nursery in Wimbledon. Can we bring our little chicks with us?Not this time. This is a grown-ups only event so no little chicks in pyjamas please. Should I only go to the events held at the nursery I wish my chick to join?It doesn’t matter which one of the nurseries you may want your little one to join - you are welcome to come along to any of our Information evenings! Whichever date suits your schedule best.

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Disney On Ice presents Dream Big

Cash, Visa, MasterCard, American Express, Discover. Checks are NOT accepted. (956) 843-6688 Box Office Location: The box office is located ON THE FRONT OF THE State Farm Arena facing 10th Street. Box Office Phone Number: (956) 843-6688 Box Office Hours: Monday – Friday, 8:30am – 5:30pm Saturday - Open at 12 noon ONLY if an event is scheduled Sunday – Open at 12 noon ONLY if an event is scheduled Open 10:00 am for Saturday show on-sales Accessible seating is available at State Farm Arena. For additional information regarding the availability of accessible seating please call the Dodge Arena Box Office at (956) 843-6688.

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