MELENDI - Gira 2019- Mi Cubo de Rubik en WiZink Center, Madrid
Tras agotar la práctica totalidad de sus conciertos en los últimos años, Melendi anuncia las primeras fechas de su nueva gira, con la que recorrerá las principales ciudades de España. Bajo el título de MI CUBO DE RUBIK –álbum que verá la luz este mismo año y del que ya se ha adelantado la impactante “Besos a la Lona”-, el cantautor ofrecerá en directo sus nuevas canciones sin olvidar sus innumerables hits, coreados por miles de personas en sus siempre multitudinarios conciertos. Habitual año tras año en los primeros puestos de todas las listas y recientemente proclamado como el artista español más escuchado en la historia de Spotify en nuestro país, Melendi acumula miles de millones de reproducciones en plataformas así como discos de oro y platino en multitud de países, siendo una de las figuras más destacadas de la música en español tanto dentro como fuera de nuestras fronteras.
El turno de Madrid será el viernes 17 de enero de 2020 en el WiZink Center, Madrid.
Información importante
Apertura de puertas: 19:00h
Inicio del concierto: 21:00h
Los menores de 14 años solo podrán acceder acompañados de un adulto responsable
www.melendioficial.com
Entradas para el concierto de MELENDI - Gira 2019 - Mi Cubo de Rubik en MadridLas entradas para el concierto MELENDI - Gira 2019 - Mi Cubo de Rubik en Madrid tienen un precio desde 30€ + gastos de gestión.
Disfruta de los mejores conciertos en Madrid y ¡No te quedes sin tu entrada!
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:
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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.
Orders placed through Ticketmaster have standard delivery options available, including mobile delivery, standard and UPS mail. Will Call pickup is available day of event only. Please bring valid, corresponding ID with you for collection. *Please note that Print-at-Home is not be available as a delivery option for this venue.
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The Ticket Office is located next to the main entrance to the arena, adjacent to the plaza (Vel R Phillips and Juneau). Opening hours are Monday through Friday: 10AM - 5PM Saturday: 12PM - 4PM, Sunday: Closed. Weekend hours may vary depending on if there is an arena event taking place that day. Please contact the Ticket Office for specific details about event day hours. For events going on public on-sale, tickets will not be available to purchase at the Ticket Office until 3 hours after the public on-sale has begun. For example: if an event has a public on-sale of 10AM, sales will begin at the Fiserv Forum Ticket Office at 1PM if tickets still remain.
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We are offering practical billing training on how to upload and process legal aid court bills and LAA claims
What's included?
A discussion with you to understand and identify any particular issues you would like addressed in the training.
A morning or afternoon in-house training session, with as many people as you like, specifically covering the process to get both LAA claims and court bills of costs through the billing process to avoid rejections.
The training includes:
A Power Point presentation at your office,
An overview of the legal aid process with ideas on best practice to ensure claims are processed without delay
Ring binder of guides and our examples,
Our own practical training notes,
Flow charts and step by step guides to follow,
Live example and templates of how to process the cases from start to finish
We also include a free costs clinic for one hour following the training to discuss any problem files you would like our advice on.
If you would like any additional topics covering, just let us know. We also offer training on areas such as legal help billing, high costs cases, managing legal aid cases, maximising costs and costs advice clinics.
Speakers:
Ann Henderson, Director and Joint Head of the Processing and High Costs Teams
Client testimonial: “Ann Henderson is fantastic. Her knowledge of the Legal Aid Agency’s procedure, rules and guidelines is second to none. She has a huge amount of experience and as a result there doesn’t seem to be a legal aid related scenario she hasn’t come across” Abbie Huxley of Burke Niazi Solicitors
Rebecca Bidwell, Director and Joint Head of the Processing and High Costs Teams
Client testimonial: “I wish some of your speakers had been able to speak much longer, there was some really useful information and Rebecca’s High Costs Case topic could have run all afternoon”
Elizabeth Smith – Ramsdens Solicitors LLP
Contact details:
For further information or a copy of our free proposal document please contact services@bidwellhenderson.co.uk at Bidwell Henderson Costs Consultants Ltd or telephone 03333 441 654 to speak to Rebecca Bidwell.
Feedback from some of our recent training attendees:
"Just wanted to compliment you on an excellent seminar yesterday. The speakers were excellent as was the venue"
Tracey Jack - BG Solicitors LLP
"I very much enjoyed your seminar yesterday and left feeling very reassured"
Angela Ward - Howells LLP
If you would like any additional topics covering, just let us know. We also offer training on areas such as:
Legal Help billing
Processing and managing legal aid cases,
Maximising legal aid costs
Costs advice clinics
Legal cashiering
We also offer discounts for booking multiple topics.
Bidwell Henderson Costs Consultants Ltd
T: 03333 441 654
E: services@bidwellhenderson.co.uk
w: www.bidwellhenderson.co.uk
412-642-1800
The Box Office will only be open on event days. Monday - Friday at 10am & Saturday - Sunday at 12pm. 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.
Mastercard, Visa, Discover, and American Express
Available for pick up beginning 48 hours after order is placed at the Bankers Life Fieldhouse box office. Customer must present actual credit card, confirmation number, and photo ID.
317-917-2727
Mon-Sat: 10:00am - 5:00 pm Sun: Open only on event days 2 hours before start of event.
Wheelchair/Accessible seating is available.
Come along, relax, and listen to a rich selection of women writers off the page and read out loud. Bring your lunch, drink tea, eat biscuits and join in the friendly, women-only discussion. The Book Cafe is like a book group but with short stories, poetry and non-fiction pieces, opening a wonderful window into different lives, different cultures, and different eras, highlighting the similarities of women's experiences worldwide and across time.
Please note: this event is open to women and trans-women only.