Los mejores videos
Краткий обзор телефона HUAWEI P20 PRO
Здравствуйте, совсем недавно компания Huawei выпустила новый телефон модели P, а именно P20 PRO. Данный телефон идеально подойдет для съемки в любом месте и в любое время. В видео мы подробно рассказали обо всех характеристиках данного телефона, также вы можете заказать его по самой низкой цене в Одессе, перейдя по ссылке: https://mobileplanet.ua/search/23300
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Verizon GizmoPal 2 LG Phone Watch for Kids Review by gear expert, Hollie Schultz of Baby Gizmo. More information on the GizmoPal2 - https://www.babygizmo.com/veri....zon-gizmopal2-gps-ph
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The OnePlus 6 is INCREDIBLE value for money - $300 less than the Galaxy S9 with the same specs! Is this the best android phone so far in 2018? Buy ➤Amazon US: https://amzn.to/2u4eq7y ➤Amazon UK: https://amzn.to/2yVkTah
Cómpralo aquí:
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Cupón: GBDZ09 Precio final: $38.83 USD
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Lista de reproducción de #MiércolesDeApp:
http://www.youtube.com/playlis....t?list=PLg3qC2OMYB4I
Lista de reproducción de #ViernesDeJuego:
http://www.youtube.com/playlis....t?list=PLg3qC2OMYB4J
Pack de iconos que utilizo:
https://play.google.com/store/....apps/details?id=com.
Link a Google Play Store:
In this video I'm going to be doing the full review of the Patriot Power Cell by 4Patriots.
You can purchase this device here: https://4patriots.com/
Thank all of you for watching.
The Essential Phone is here: a new phone from the inventor of Android, Andy Rubin. Can an edge-to-edge screen and new system for magnetic modules take on the Pixel XL?
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Starting at just $500 in China, the Asus ROG Phone 2 is not only the fastest phone in the world right now but priced to rival the Red Magic 3, Black Shark 2, and even non-gaming budget phones like the Xiaomi Mi 9 and K20 Pro. This very well priced version is limited to 8GBs of RAM, 128GBs of storage, and an 18W wired charging block. At half the price of it's global brother it is hard to justify paying almost $1000 for the same phone with 12GBs of RAM, 256GBs of storage, and a 25W charging block in the box, especially when the Chinese version supports all of google services too!
The phone itself has a 6.59" AMOLED display with a 120Hz refresh rate which is .59" bigger and 30Hz faster than its predecessor. It also comes paired with a 6000mAh battery, which is a 2000mAh upgrade from the first ROG Phone, as well as 25W fast wired charging. There is also a big jump in the camera department thanks to the 48MP sony IMX586 sensor which in turn jumps video recording to 4k@60fps, a 13MP ultrawide sensor, and a 24MP selfie camera. There is also a reliable in-display fingerprint sensor now and lets not forget all of those crazy ports, intense gaming accessories, and most importantly the beafy Snapdragon 855 Plus chipset under the hood!
I unbox the device with impressions on the design, software, 120Hz fluidity, gaming abilities, build quality, in-display fingerprint sensor, facial recognition, and camera.
Stay tuned for speed tests, charging and drain test, gaming test, and camera test in the weeks to come.
Be sure to like, comment, and subscribe.
Until next time, this is TechNick :)
♫Music By♫
Fredji - Happy Life
Happy Life by Fredji
SC: https://soundcloud.com/fredjimusic
FB: https://www.facebook.com/fredjimusic/
Promoted by MrSnooze https://youtu.be/rhV_DIoebmU
FortyThr33 - Bay Breeze
Bay Breeze by FortyThr33 https://soundcloud.com/fortythr33-43
Promoted by MrSnooze https://youtu.be/rhV_DIoebmU
License: CC BY 3.0 https://goo.gl/A7jRXA
MBB - Take It Easy
Take It Easy by MBB https://soundcloud.com/mbbofficial
Promoted by MrSnooze https://youtu.be/rhV_DIoebmU
License: CC BY-SA 3.0 https://goo.gl/SQsv68
Joakim Karud - Rock Angel
Joakim Karud - Dreams
Joakim Karud - Waves
Music by Joakim Karud http://youtube.com/joakimkarud
Promoted by MrSnooze https://youtu.be/rhV_DIoebmU
License: CC BY-SA 3.0 https://goo.gl/SQsv68
Мобильный телефон Nokia 225 Dual Sim Yellow: http://www.mobilluck.com.ua/ka....talog/mobila/nokia/n
Другие телефоны Nokia: http://www.mobilluck.com.ua/katalog/mobila/nokia/
Nokia 225 Dual Sim — прекрасный телефон от всемирно известного бренда с большим экраном, размер диагонали которого составляет 2,8 дюйма, и удобной клавиатурой. Рассчитанный на две сим-карты, он позволит вам всегда быть на связи. При полном заряде аккумулятора музыку можно слушать хоть целый день! Камера на 2 Мпикс поможет заснять все самое интересное. Тонкий корпус гаджета яркого цвета будет радовать глаз. Браузер Nokia Xpress, Twitter, Facebook, Bluetooth — в Nokia 225 Dual Sim есть все необходимое для общения и развлечений!
Технические характеристики:
Экран: 2.8" (320x240) ЖК
Моноблок
Камера: 2 Мп
Интерфейсы: Bluetooth 3.0, USB 2.0, microUSB
GPS: нет
ОС: Nokia OS Series 30+
Размеры: 124 x 55.5 x 10.4 мм / 100.6 г
Смартфон Nokia 225 Dual Sim в других цветах:
Черный - http://www.mobilluck.com.ua/katalog/mobila/nokia/nokia-225_Black_Dual_Sim-314599.html
Белый - http://www.mobilluck.com.ua/katalog/mobila/nokia/nokia-225_White_Dual_Sim-314588.html
Подпишитесь на канал для просмотра свежего видео: http://www.youtube.com/user/mobilluckreview
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Our robot system, Dactyl, has learned to manipulate objects with unprecedented dexterity. Learn more: https://blog.openai.com/learning-dexterity/
Music: "Handsome Devil" by Gyom
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Robert Oberst is the professional strongman known as “The American Monster”.
He has competed in Strongman all around the world since 2012, including America’s Strongest Man, the Arnold Classic and five times in the World’s Strongest Man, twice placing as a finalist.
Today Robert stars on the History Channel television show The Strongest Man In History, alongside Brian Shaw, Nick Best and Eddie Hall, while travelling the world promoting strongman with his catchphrase “Strong and Pretty”.
ROBERT OBERST:
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Yann LeCun
Director of AI Research at Facebook, Professor of Computer Science, New York University
November 18, 2016
Abstract
The rapid progress of AI in the last few years are largely the result of advances in deep learning and neural nets, combined with the availability of large datasets and fast GPUs. We now have systems that can recognize images with an accuracy that rivals that of humans. This will lead to revolutions in several domains such as autonomous transportation and medical image understanding. But all of these systems currently use supervised learning in which the machine is trained with inputs labeled by humans. The challenge of the next several years is to let machines learn from raw, unlabeled data, such as video or text. This is known as unsupervised learning. AI systems today do not possess "common sense", which humans and animals acquire by observing the world, acting in it, and understanding the physical constraints of it. Some of us see unsupervised learning as the key towards machines with common sense. Approaches to unsupervised learning will be reviewed. This presentation assumes some familiarity with the basic concepts of deep learning.
Speaker Biography
Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering Department. He received the Electrical Engineer Diploma from Ecole Superieure d'Ingenieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Universite Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he directed NYU's initiative in data science and became the founding director of the NYU Center for Data Science. He was named Director of AI Research at Facebook in late 2013 and retains a part-time position on the NYU faculty. His current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and on dedicated circuits and architectures for computer perception. The character recognition technology he developed at Bell Labs is used by several banks around the world to read checks and was reading between 10 and 20% of all the checks in the US in the early 2000s. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web. Since the late 80's he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition. LeCun has been on the editorial board of IJCV, IEEE PAMI, and IEEE Trans. Neural Networks, was program chair of CVPR'06, and is chair of ICLR 2013 and 2014. He is on the science advisory board of Institute for Pure and Applied Mathematics, and has advised many large and small companies about machine learning technology, including several startups he co-founded. He is the lead faculty at NYU for the Moore-Sloan Data Science Environment, a $36M initiative in collaboration with UC Berkeley and University of Washington to develop data-driven methods in the sciences. He is the recipient of the 2014 IEEE Neural Network Pioneer Award.
Best Toy Food Learning Video With Baby Shimmer's High Chair Shimmer and Shine with Toy Genie. This is the best toy food learning video. What did baby Shimmer eat? Learn fruits, vegetables, and desserts using Shopkins.
Aprender alimentos en inglés video para niños pequeños y preescolar. Comidas, frutas, y vegetales.
Subscribe Here: http://www.youtube.com/subscri....ption_center?add_use
Here are some links to my other videos that you may like:
Best Learning Video Colors and Numbers Shrek Eats Too Much Candy Rotten Teeth: https://youtu.be/BnRiQDDNqdk
LEARN COLORS Shrek Eats Gumballs Brush Teeth: https://youtu.be/DrCP6BnurTw
Gumball Banks LEARN Colors and Numbers with Gumballs: https://youtu.be/ydfqEG8uXO0
Here are more of my videos in playlists:
Mickey Mouse Club House Friends and Disney Tsum Tsum Playlist: https://www.youtube.com/watch?v=H-dN4zNFmaM&list=PL8yauLj_sBJCRdwghIqXPNosIriV7WPjH
Disney Princess and Disney Toys Playlist: https://www.youtube.com/watch?v=LUquV7eqQak&list=PL8yauLj_sBJBReHXHVFlmtlRt_Ba1lCUl
My Little Pony Surprises, Playsets, and Dolls Playlist: https://www.youtube.com/watch?v=yMFEc1P7_OM&list=PL8yauLj_sBJDqN2e0kB3AHJS9EpaD16fI
Best Learning Video ABC123 Colors and Numbers Kids Preschool Learn With Toys and Play Doh Playlist: https://www.youtube.com/watch?v=nqYEXjvQMNg&list=PL8yauLj_sBJCKxWXXyG11aD5VpIqn8Jbv
Paw Patrol Surprises with Play Doh and Learning Playlist: https://www.youtube.com/watch?v=nqYEXjvQMNg&list=PL8yauLj_sBJC94Mr-kxqznpPSUP12-9DW
Blind Bags, Blind Baskets, Mystery Boxes, Surprise Eggs Playlist: https://www.youtube.com/watch?v=hiAH0iLOJq4&list=PL8yauLj_sBJAzX_EqBbiphR-mzobRgBCO
Fashems and Mashems Playlist: https://www.youtube.com/watch?v=tedYS4WATGE&list=PL8yauLj_sBJA7pYu8JQY8UZ7E3ZaJggDq
Please share this video of Best Toy Food Learning Video With Baby Shimmer's High Chair Shimmer and Shine: https://youtu.be/X0LZpPTqv9c
Music: YouTube
Thank you for watching my videos,
Toy Genie Surprises
Please support my channel by liking, subscribing, and sharing my videos. :)
With plenty of machine learning tools currently available, why would you ever choose an artificial neural network over all the rest? This clip and the next could open your eyes to their awesome capabilities! You'll get a closer look at neural nets without any of the math or code - just what they are and how they work. Soon you'll understand why they are such a powerful tool!
Deep Learning TV on
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Deep Learning is primarily about neural networks, where a network is an interconnected web of nodes and edges. Neural nets were designed to perform complex tasks, such as the task of placing objects into categories based on a few attributes. This process, known as classification, is the focus of our series.
Classification involves taking a set of objects and some data features that describe them, and placing them into categories. This is done by a classifier which takes the data features as input and assigns a value (typically between 0 and 1) to each object; this is called firing or activation; a high score means one class and a low score means another. There are many different types of classifiers such as Logistic Regression, Support Vector Machine (SVM), and Naïve Bayes. If you have used any of these tools before, which one is your favorite? Please comment.
Neural nets are highly structured networks, and have three kinds of layers - an input, an output, and so called hidden layers, which refer to any layers between the input and the output layers. Each node (also called a neuron) in the hidden and output layers has a classifier. The input neurons first receive the data features of the object. After processing the data, they send their output to the first hidden layer. The hidden layer processes this output and sends the results to the next hidden layer. This continues until the data reaches the final output layer, where the output value determines the object's classification. This entire process is known as Forward Propagation, or Forward prop. The scores at the output layer determine which class a set of inputs belongs to.
Links:
Michael Nielsen's book - http://neuralnetworksanddeeplearning.com/
Andrew Ng Machine Learning - https://www.coursera.org/learn/machine-learning
Andrew Ng Deep Learning - https://www.coursera.org/speci....alizations/deep-lear
Have you worked with neural nets before? If not, is this clear so far? Please comment.
Neural nets are sometimes called a Multilayer Perceptron or MLP. This is a little confusing since the perceptron refers to one of the original neural networks, which had limited activation capabilities. However, the term has stuck - your typical vanilla neural net is referred to as an MLP.
Before a neuron fires its output to the next neuron in the network, it must first process the input. To do so, it performs a basic calculation with the input and two other numbers, referred to as the weight and the bias. These two numbers are changed as the neural network is trained on a set of test samples. If the accuracy is low, the weight and bias numbers are tweaked slightly until the accuracy slowly improves. Once the neural network is properly trained, its accuracy can be as high as 95%.
Credits:
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
For the past 2 years we have experimented with a new format - Created communication and dialogue tools by drawing - AND filming. With over 25 client and project videos out, we are now proud to present our two latest videos. They aim at explaining our own field: Visual Thinking and Graphic Facilitation.
They are short introductions to different aspects of our methodology.
the first video explains 7 basic elements on how you can learn to draw almost anything when working with people.
The second video show what tools we suggest you bring along when facilitating graphically.
Stay tuned for more.
Blended Learning combines the best of personalized online learning with face-to-face onsite support and hands-on application. Through the flex and rotational models, students are given some control over the time, place, path and pace. Part two in a five part DLN Smart Series video collection.
Надёжный брокер Бинарных Опционов с Доходностью до 95% и ★БОНУСОМ★ на пополнение!
+ ✔ УСПЕЙТЕ получить Бесплатные Опционы на 150$ + Демо счёт на 50000 рублей! ► https://goo.gl/k4B6ju
................................................................................................................обучающий курс по торговле бинарными опционами бесплатные роботы для бинарных опционов учебный курс по торговле бинарными опционами роботы для бинарных опционов бесплатно как успешно торговать бинарными опционами стратегия торговли на бинарных опционах робот для торговли бинарными опционами бинарные опционы какого брокера выбрать стратегии торговли бинарными опционами андрей оливейра курс бинарные опционы курс по торговле бинарными опционами стратегия торговли бинарными опционами обучение торговле бинарными опционами Андрей Оливейра Обучение трейдингу бинарные опционы андрей оливейра бинарные опционы 24option отзывы Опцион Бинарные опционы бинарными опционами бинарные опционы стратегия опцион андрей оливейра курсы книга андрея оливейры Заработок в Интернет обучение трейдеров рыночные движения торговый сигнал бинарный сигнал опционы андрей оливейра Данный вебинар опцион сигнал брокер опцион трейдинг Binary Option Как понимать олимп трейд Что такое Option Как выбрать Технический iq option Инвестиции olymptrade оливейра 24option торговля utrader опытных трейдер андрей
Globally 617 million – or six out of ten – children and adolescents are unable to read a simple sentence or handle a basic mathematics calculation, according to data from the UNESCO Institute for Statistics (UIS). To address the global learning crisis, robust monitoring is needed to track whether children and adults are gaining the skills they need to thrive in today’s world. This video presents the tools developed by the UIS to measure learning and how to use the data to improve learning outcomes.
‘Data for Lifelong Learning’ from the UNESCO Institute for Statistics http://uis.unesco.org
Synthesizing Obama: Learning Lip Sync from Audio
Supasorn Suwajanakorn, Steven M. Seitz, Ira Kemelmacher-Shlizerman
SIGGRAPH 2017
Given audio of President Barack Obama, we synthesize a high quality video of him speaking with accurate lip sync, composited into a target video clip. Trained on many hours of his weekly address footage, a recurrent neural network learns the mapping from raw audio features to mouth shapes. Given the mouth shape at each time instant, we synthesize high quality mouth texture, and composite it with proper 3D pose matching to change what he appears to be saying in a target video to match the input audio track
http://grail.cs.washington.edu..../projects/AudioToOba
The English language opens many doors for many people.
With the latest research, we connect teachers and learners from around the world. This approach lets us learn from each other, constantly improve our teaching materials and unlock real-life opportunities for all.
Find out more at http://bit.ly/better-learning
Reference:
Upper Perse, Peter Hall Performing Arts Centre Art Installation:
“You Can Radiate Over Here” by Victoria Morton. Tufted at Dovecot Studios by Kristi Vana
First video! Intro to what my channel is about!
Singapore is one of the highest-achieving school systems in the world yet teachers have relatively fewer instructional hours compared to teachers in the U.S. As a senior teacher at Kranji Secondary School in Singapore, Rosmiliah's typical work week involves only 12–14 hours of academic teaching. This film follows a day in the life of Rosmiliah and provides intriguing insight into how teacher time is managed in Singapore.
"Time for Learning: A Day in the Life of a Singaporean Teacher," is a product of the Stanford Center for Opportunity Policy in Education (SCOPE) study, “Comparative Study of Time Use in Schools.” Sponsored by the Ford Foundation, the study examines policies and practices related to teacher quality used by high-achieving jurisdictions.
This is lecture 1 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car.
OUTLINE:
0:00 - Introduction
8:14 - Self-Driving Cars
14:20 - Deep Learning
INFO:
Slides: http://bit.ly/2HlyFHI
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-deep-learning
Playlist: https://goo.gl/SLCb1y
CONNECT:
- If you enjoyed this video, please subscribe to this channel.
- AI Podcast: https://lexfridman.com/ai/
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- Instagram: https://www.instagram.com/lexfridman
- Slack: https://deep-mit-slack.herokuapp.com
LINKS:
Playlist: https://goo.gl/SLCb1y
Lecture 1: Deep Learning - https://youtu.be/-6INDaLcuJY
Lecture 2: Self-Driving Cars - https://youtu.be/_OCjqIgxwHw
Lecture 3: Deep Reinforcement Learning - https://youtu.be/MQ6pP65o7OM
Lecture 4: Computer Vision - https://youtu.be/CLOAswsxudo
Lecture 5: Deep Learning for Human Sensing - https://youtu.be/Z2GfE8pLyxc
Guest talk: Sacha Arnoud, Waymo - https://youtu.be/LSX3qdy0dFg
Guest talk: Emilio Frazolli, nuTonomy - https://youtu.be/dWSbItd0HEA
Guest talk: Sterling Anderson, Aurora - https://youtu.be/HKBhP9JISF0
2017:
Guest talk: Sertac Karaman, MIT - https://youtu.be/0fLSf3NO0-s
Guest talk: Chris Gerdes, Stanford - https://youtu.be/LDprUza7yT4
UNESCO’s Futures of Education initiative aims to rethink how knowledge and learning can shape the future of humanity and the planet. Looking to 2050 and beyond, the initiative seeks to reimagine how education and knowledge can contribute to the global common good. The initiative is catalyzing a global debate on how knowledge, education and learning need to be reimagined in a world of increasing complexity, uncertainty, and precarity.
This initiative mobilizes the many rich ways of being and knowing in order to leverage humanity’s collective intelligence. It relies on a broad, open consultative process that involves youth, educators, civil society, governments, business and other stakeholders. The work is being guided by a high-level International Commission of thought-leaders from diverse fields and different regions of the world. In late 2021, the commission will publish a global report designed to share a forward looking vision on how education and learning can enable us to become what we want to become.
Read more: https://en.unesco.org/futuresofeducation/
