Annasach Ceilidh Band invites you to our informal celebration of The Bard's birthday in the hidden gem of Edinburgh’s Old Town, The Counting House; a venue where Robert Burns himself was once entertained by poet Thomas Blacklock!
The ceilidh will start at 8pm with a break for a buffet supper served around 9.30pm of haggis (vegetarian option available), neeps & tatties, and a complimentary dram of The Famous Grouse to wash it all down. Then it's back to the dancing!
Our dance caller Tricia will be there as usual to explain the dances so all beginners welcome :) She might even sing a Burns song or two!
Tickets can be purchased here or at the door - although booking in advance is highly recommended as previous years have SOLD OUT; and are priced at £25 and £20 conc. You will receive an e-ticket which should be brought with you on the evening.
Please note that an official photographer may be in attendance at this event. By purchasing a ticket you agree to any image being used by Annasach for future publicity.
Cash, Visa, Mastercard, American Express, Checks & Discover card.
Box office opens 2 hours prior to showtime. All customers must show a valid I.D. to pickup Will Call Tickets.
509-324-7000
Monday to Friday 10:00am to 6:00pm.
Contact Spokane Arena for Accessible Seating at 509-324-7000.
Holiday Gift Collective brings together seven East Bay female artisans in Lafayette, CA
San Francisco, CA – With a global pandemic and wave of fires, many small businesses have shuttered under the conditions, while others have united in finding new ways to sustain themselves and support their local communities through their crafts.
Contra Costa County recently moved into Tier 2, allowing for the return of indoor retail shopping under state guidelines. The artisans and women behind Holiday Gift Collective are thrilled at the opportunity to safely showcase their goods and boost their local economy just in time for the holidays.
The idea for Holiday Gift Collective was born from the shared values of each of the participating artisans as well as from the #shoplocal movement which encourages people to invest in their communities with the goal of strengthening the economy. Holiday Gift Collective is a union in support of community and equality, and will offer home goods, jewelry, gourmet foods, and more.
In addition to continuing to pave the path for aspiring female entrepreneurs, Holiday Gift Collective hopes to encourage the community to work together in the fight against climate change. Brands such as Planet Renu, SIP, and Hofssi Chocolates will be presenting a variety of eco-friendly and ethically sourced products. Joining the list of green businesses will be Hollie's Homegrown, a local organic herb farm on a mission to create the highest quality herbal food and body products. All together, they will provide Holiday Gift Collective customers with unique and special gift options that reduce our carbon-footprint.
To learn more about the women behind Holiday Gift Collective, visit their sites: Anne Morrison Rabe Photography, Annie Chrietzberg, Hofssi Chocolates, Hollie’s Homegrown, Manjusha Jewels, Planet Renu, and SIP (Seriously Imbibed Products).
Located at 3539 Plaza Way, Lafayette, CA, the pop-up will run Sunday, Nov. 1 through the end of the holiday season from 10 a.m. to 5 p.m. Local guest artisans will be featured on a rotating basis.
###
Contacts
Holiday Gift Collective:
Sanjiv Chawla
sanjiv@manjushajewels.com
What is it?
A TeachMeet is an organised but informal meeting for teachers to share best practice, teaching innovations and personal experiences of teaching. Participants volunteer to discuss a strategy they have implemented over the past year, or discuss a product that has enhanced their classroom practice. This is the perfect opportunity to share, network and learn with your peers in an informal setting. The event is intended, and free, for educators. If you are not an educator we welcome you to join for $100USD.
What is the aim?
To inspire each other with interesting and useful ideas.
To develop and maintain a network of partners in teaching and learning.
To share ideas and strategies to use in the classroom and beyond.
Event Format
Networking with wine,beer and cheese
Micro-presentations – lasting 5 minutes
Nano-presentations – lasting 2 minutes
If you would like to present at the TeachMeet signup here
Location
FellasShunyi North 顺义北2/F, 8 Laiguangying Donglu (off the Airport Expressway, 100m north of WAB main entrance) Chaoyang District
朝阳区 来广营东路8号2层
Taxi Directions
请带我去【Fella's】地址：来广营东路10号
电话：010 8470 3821
Cash, AmEx, Visa, MC
Pick up tickets one hour prior to the show. Customers must present the actual credit card used to place the order and a photo ID.
(212) 221-1211
Monday - Saturday 10am - 8pm Sunday 12pm - 6pm
Visa, MasterCard, American Express, Discover and Cash.
Located at Northwest corner of Lumen Field. Opens 3 Hours prior to kickoff on gameday.
Gameday: (206) 381-7848
Open 3 hours prior to kickoff on gameday. Weekday hours will vary. Located in the Northwest corner of the Stadium.
There are disabled seats (wheelchair convertible) dispersed through all areas and price levels of Lumen Field. Disabled seating and access for all is fully compliant with the Americans with Disabilities Act, (ADA).
Cash - Visa - MasterCard - American Express - Discover
The Will Call Booth at Highmark Stadium is located in between gates 3 and 4. Guests may pick up their pre-paid tickets on game day. This location is open 4 hours prior to kickoff. PROPER PHOTO IDENTIFICATION IS REQUIRED. Tickets will only be released to the person who purchased the tickets.
1-877-BB-TICKS (228-4257)
Box Office Hours Season Hours: 9am - 5pm, Monday - Friday 9am - 1pm, Saturdays before home games Open 4 hours prior to kick off on game days through the end of the 3rd Quarter Off Season Hours: 9am - 5pm, Monday - Friday For Buffalo Bills Tickets Only.
Available at the Box Office and through Ticketmaster. Phone #: 1-877-BB-TICKS (228-4257) https://www.buffalobills.com/tickets/policies
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.
In Brooklyn Glass’ 8 Week Introductory Glassblowing Course students will begin their glass journey by learning the basics of working with 2100 degree molten glass.
Students begin with basic techniques of gathering and shaping hot glass and then learn how to create various blown shapes like cups, bowls, plates, bottles and more.
Unlike other glass studios, our classes are housed within a fully functioning fabrication facility and glass warehouse allowing us to offer all the materials needed and our instructors are all skilled at their craft.
Working in teams, students will try their hand at creating forms while having fun in a creative and supportive environment.
Introductory glassblowing processes will allows students to form a solid foundation of working with hot glass.
CLASS MEETS ONCE A WEEK, FOR 8 CONSECUTIVE WEEKS. 6-9PM