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casts - Shun Oguri.
Brief - A high-school boy who has run away to Tokyo befriends a girl who appears to be able to manipulate the weather.
112 Min.
year - 2019.
score - 8099 votes.
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Ame esa pelii 😭.
Baia entre al video pensando que seria uno mas del monton. Pero enrealidad me sorprendiste con estos datos. Ademas de que te expresas muy bien. Like y sub 👍.
Your Name: Finding love in destiny Weathering with You: Changing destiny for love
A basic grounding in the principles and practices around artificial intelligence (AI), automation and cognitive systems is something which is likely to become increasingly valuable, regardless of your field of business, expertise or profession.
Fortunately, today you don’t have to take years out of your life studying at university to become familiar with this seemingly hugely complex technology. A growing number of online courses have sprung up in recent years covering everything from the basics to advanced implementation.
Some are aimed at people who want to dive straight into coding their own artificial neural networks, and understandably assume a certain level of technical ability. Others are useful for those who want to learn how this technology can be applied by anyone, regardless of prior technical expertise, to solving real-word problems.
In this post I will give a rundown of some of the best free ones which are available today.
Learn with Google AI
This newly launched resource is part of Google’s plan to broaden the understanding of AI among the general public. Material is slowly being added but it already contains a Machine Learning with TensorFlow (Google’s machine learning library) crash course.
The course covers the ground from a basic introduction to machine learning, to getting started with TensorFlow, to designing and training neural nets.
It is designed so that those with no prior knowledge of machine learning can jump in right at the start, those with some experience can pick or choose modules which interest them, while machine learning experts can use it as an introduction to TensorFlow.
Google – Machine Learning
This is a slightly more in-depth course from Google offered through Udacity. As such, it isn’t aimed at complete novices and assumes some previous experience of machine learning, to the point where you are at least familiar with supervised learning methods.
It focuses on deep learning, and the design of self-teaching systems that can learn from large, complex datasets.
The course is aimed at those looking to put machine learning, neural network technology to work as data analysts, data scientists or machine learning engineers as well as enterprising individuals wanting to make use of the plethora of open source libraries and materials available.
Stanford University – Machine Learning
This course is offered through Coursera and is taught by Andrew Ng, the founder of Google’s deep learning research unit, Google Brain, and head of AI for Baidu.
The entire course can be studied for free, although there is also the option of paying for certification which could certainly be useful if you plan to use your understanding of AI to increase your career prospects.
The course covers the spectrum of real-world machine learning implementations from speech recognition and enhancing web search, while going into technical depth with statistics topics such as linear regression, the backpropagation methods through which neural networks “learn”, and a Matlab tutorial – one of the most widely used programming languages for probability-based AI tools.
Columbia University – Machine Learning
This course is also available in its entirety for free online, with an option to pay for certification should you need it.
It promises to teach models, methods and applications for solving real-world problems using probabilistic and non-probabilistic methods as well as supervised and unsupervised learning.
To get the most out of the course you should expect to spend around eight to ten hours a week on the materials and exercises, over 12 weeks – but this is a free Ivy League-level education so you wouldn’t expect it to be a breeze.
It is offered through the non-profit edX online course provider, where it forms part of the Artificial Intelligence nanodegree.
Nvidia – Fundamentals of Deep Learning for Computer Vision
Computer vision is the AI sub-discipline of building computers which can “see” by processing visual information in the same way our brains do.
As well as the technical fundamentals, it covers how to identify situations or problems which can benefit from the application of machines capable of object recognition and image classification.
As a manufacturer of graphics processing units (GPUs), Nvidia unsurprisingly covers the crucial part these high-powered graphical engines, previously primarily aimed at displaying leading-edge images, has played in the widespread emergence of computer vision applications.
The final assessment covers building and deploying a neural net application, and while the entire course can be studied at your own pace, you should expect to spend around eight hours on the material.
MIT – Deep Learning for Self Driving Cars
As with the course above, MIT takes the approach of using one major real-world aspect of AI as a jumping-off point to explore the specific technologies involved.
The self-driving cars which are widely expected to become a part of our everyday lives rely on AI to make sense of all of the data hitting the vehicle’s array of sensors and safely navigate the roads. This involves teaching machines to interpret data from those sensors just as our own brains interpret signals from our eyes, ears and touch.
It covers the use of the MIT DeepTraffic simulator, which challenges students to teach a simulated car to drive as fast as possible along a busy road without colliding with other road users.
This is a course taught at the bricks ‘n’ mortar university for the first time last year, and all of the materials including lecture videos and exercises are available online – however you won’t be able to gain a certification.
I dont know why I had more fun when I had my friends watch this with me lol.
4:44 that aspect ratio change was the most satisfying thing ever, my goodness that gave me so much chills.
7 years without tears drop from my eyes. after listening to this song, it makes me cry a lot 😢. RADWIMPS you're the best.👏🏻.
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Hina : Do you want the rain to stop? Hodaka: Yes Hina: Guess Ill Die 😭😭😭.
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This is a story. only she and I know about. The Video: has 1 120 853 views.
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Edit
Release Dates
UK
15 January 2019 (event release) (Japanese version) (preview screening)
Ireland
Canada
16 January 2019 (event release) (preview screening)
Japan
19 July 2019
Hong Kong
8 August 2019
Indonesia
21 August 2019
Australia
22 August 2019 (Japanese version)
New Zealand
Philippines
28 August 2019
Vietnam
30 August 2019
Brunei
5 September 2019
Malaysia
Thailand
8 September 2019 (Japanese version) (Toronto International Film Festival) (premiere)
Singapore
12 September 2019
Taiwan
Spain
21 September 2019 (Donostia-San Sebastián International Film Festival)
India
27 September 2019 (Japanese Film Festival India)
27 September 2019 (4-D version)
11 October 2019
12 October 2019 (Japanese version) (Sitges Film Festival)
12 October 2019 (Scotland Loves Anime) (Japanese version) (premiere)
Italy
14 October 2019
USA
18 October 2019 (Japanese version) (Animation Is Film Festival) (premiere)
South Korea
30 October 2019
Russia
31 October 2019
Ukraine
China
1 November 2019
Mexico
14 November 2019 (Los Cabos International Film Festival)
14 November 2019 (Los Angeles, California) (Asian World Film Festival)
17 November 2019 (Anime NYC) (Manhattan, New York)
17 November 2019 (Hawaii Film Festival)
29 November 2019
Brazil
10 December 2019 (Rio de Janeiro International Film Festival)
10 December 2019 (London) (Japanese version)
France
12 December 2019 (Paris) (Japanese version)
13 December 2019 (Paris) (Japanese version)
Lithuania
13 December 2019
Estonia
20 December 2019
Latvia
27 December 2019
Argentina
2020
Belgium
Bolivia
Belarus
Chile
Colombia
Hungary
Cambodia
Kazakhstan
Peru
Turkey
8 January 2020
15 January 2020 (event release) (preview screening)
Switzerland
16 January 2020 (German speaking region)
Germany
16 January 2020
16 January 2020 (event release) (preview screening)
17 January 2020
Austria
19 January 2020
Sweden
24 January 2020 (Göteborg Film Festival. )
Netherlands
30 January 2020
31 January 2020 (4-D version)
Portugal
20 February 2020
21 February 2020
Denmark
12 March 2020
Finland
13 March 2020
Norway
3 April 2020
Also Known As (AKA)
(original title)
Tenki no ko
Weathering with You
Weathering With You - Das Mädchen, das die Sonne berührte
O tempo com você
Canada (English title)
China (Mandarin title)
Tianqi zhi zi
Les enfants du temps
Weathering with You - Das Mädchen, das die Sonne berührte
Hong Kong (Cantonese title)
Tinhei ji zi
Hong Kong (Mandarin title)
India (English title)
India (Hindi title)
Ireland (English title)
Japan (Japanese title)
天気の子
Mākoņu pavēlniece
Oru mergaite
New Zealand (English title)
O Tempo Contigo
Дитя погоды
Singapore (Mandarin title)
Nalssiui ai
El tiempo contigo (Weathering with You)
Spain (Spanish title) (alternative title)
El tiempo contigo
Spain (festival title)
天氣之子
Дитя погоди
Đứa Con Của Thời Tiết
World-wide (English title)
World-wide (English title) (informal literal English title)
Weather's Child
Child of Weather
Weather Child.
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This sound already is giving me goosebumps. I was dying when they were falling.
Kitaru beki hi no tame ni yoru wo koe.
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Arigatou Gozaimasu Your Uploading This
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Boku ni dekiru koto ha arukai? is is there anything else I can do? in English.
Not perfect on storytelling but could obviously know what topic Shinkai wants to tell. Paired with insanely beautiful scene and music.
If you guys are asking for the visual review, there's no doubt that this is a masterpiece. For the story, it's kinda easy to be predicted but overall, it gives so much goosebump and very well maintained. Almost all of the Makoto Shinkai's movie is a masterpiece, but 'Weathering With You' is on the different level from the previous movies.
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Last year, Finland launched a free online crash course in artificial intelligence with the aim of educating its citizens about the new technology. Now, as a Christmas present to the world, the European nation is making the six week program available for anyone to take.
Strictly speaking, it’s a present for the European Union. Finland is relinquishing the EU’s rotating presidency at the end of the year, and decided to translate its course into every EU language as a gift to citizens. But there aren’t any geographical restrictions as to who can take the course, so really it’s to the world’s benefit.
The course certainly proved itself in Finland, with more than 1 percent of the Nordic nation’s 5. 5 million citizens signing up. The course, named Elements of AI, is currently available in English, Swedish, Estonian, Finnish, and German.
The six sections of Elements of AI, each of which takes approximately 5 to 10 hours to complete.
There are already quite a few sites for people looking to learn the basics of AI, but Finland’s offering seems worth your time if you’re interested in such a thing. It’s nicely designed, offers short tests at the end of each section, and covers a range of topics from the philosophical implications of AI to technical subjects like Bayesian probability. It’s supposed to take about six weeks to finish, with each section taking between five and 10 hours.
The Finnish government said it originally designed the course to give its citizen an advantage in AI. Finland has always punched above its weight in the tech and education, so it seems sensible to marry the two strengths. Megan Schaible of the tech consultancy Reaktor, which helped design the course, said the motivation was “to prove that AI should not be left in the hands of a few elite coders. ”.
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🎉 Good News! 🎉 The Elements of AI course will soon be available in all EU languages. Read more here →
Are you wondering how AI might affect your job or your life?
Do you want to learn more about what AI really means — and how it’s created?
Do you want to understand how AI will develop and affect us in the coming years?
Our goal is to demystify AI
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
Part 1
Introduction to AI
An Introduction to AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required.
Explore the course
→
Part 2, coming early 2020
Building AI
Building AI is a free online course where you’ll learn more about the actual algorithms that make creating AI methods possible. Some basic Python programming skills are recommended to get the most out of the course.
Sign up for our newletter to be the first to know when the course is out.
—
I am very impressed by the focus on AI in Finland and the training 1% of Finland's population in AI - I wish it's a template which other countries can use.
Sundar Pichai,
CEO, Google
The idea has a simple nordic ring to it: Start by teaching 1 percent of the country's population, or about 55, 000 people, the basic concepts at the root of artificial technology, and gradually build on the number over the next few years.
Politico,
Finlands grand AI experiment
For AI to be successful, not only do we have to develop it; we also must work on finding diverse ways of utilizing AI. And it’s not just up to the engineers, which is why it’s so great that the Elements of AI course is free for anyone to attend.
Elina Lepomäki,
Member of Parliament
AI is going to have as big an impact on our society as electricity
Risto Siilasmaa,
Chairman of board, Nokia
Our story so far
In spring 2018, Reaktor and the University of Helsinki came together with the aim of helping people to be empowered, not threatened, by artificial intelligence. Together, they built the Elements of AI to teach the basics of AI to people from a wide range of backgrounds.
350, 000 students
Over 350, 000 students have signed up for the Elements of AI course.
170 countries
The course has spread worldwide, with graduating students from over 170 countries.
40% women
About 40% of course participants are women, more than double the average for computer science courses.
Saw it today, it was SO DAMN GOOD.
Hey this will be Interesting to watch and I just can't wait to watch It.
Well sh. another sad moments.
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“I want you more than any blue sky” 😭💙.
I am living in Japan for full 8 years now but just got the chance to watch the movie last weekends. Of course the climax with Grand Escape got my hackles stood, but I like the serenity and Japanese touch in Fireworks Festival and Shrine of Weather as well. Thanks for uploading (うぽつ!.
I cant wait for this.
Fcking greatest movie i've seen this year.
Just finished watching Your to watch Weathering With You this weekend. Cant wait to cry my eyes out for the 2nd time in a week.
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Just watched this in theatres today, it was incredible.
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