Practical Deep Learning For Coders—18 hours of lessons for free

Practical #DeepLearning For Coders—18 hours of lessons for free

  • After this course, I cannot ignore the new developments in deep learning—I will devote one third of my machine learning course to the subject.
  • I’m a CEO, not a coder, so the idea that I’d be able to create a GPU deep learning server in the cloud meant learning a lot of new things—but with all the help on the wiki and from the instructors and community on the forum I did it!
  • Sometimes I feared whether I would be able to solve any deep learning problems, as all the research papers I read were very mathy beyond reach of simple intuitive terms.
  • But Jeremy and Rachel (Course Professors) believe in the theory of ‘Simple is Powerful’, by virtue of which anyone who takes this course will be able to confidently understand the simple techniques behind the ‘magic’ Deep Learning.
  • The course exceeded my expectations and showed me first hand how both Deep Learning and ourselves could change the world for better.

fast.ai’s practical deep learning MOOC for coders. Learn CNNs, RNNs, computer vision, NLP, recommendation systems, keras, theano, and much more! neural networks!

Continue reading “Practical Deep Learning For Coders—18 hours of lessons for free”

Practical Deep Learning For Coders—18 hours of lessons for free

Welcome to a 7 week course, Practical Deep Learning For Coders, Part 1,

  • The course exceeded my expectations and showed me first hand how both Deep Learning and ourselves could change the world for better.
  • If you can code, you can do deep learning
  • It is very hands-on and adopts a top-down approach, which means everyone irrespective of varying knowledge can get started with implementing Deep learning models immediately.
  • If you are looking to venture into the Deep learning field, look no further and take this course.
  • I now have the tools to apply deep learning models to real world problems.

fast.ai’s practical deep learning MOOC for coders. Learn CNNs, RNNs, computer vision, NLP, recommendation systems, keras, theano, and much more! neural networks!

Continue reading “Practical Deep Learning For Coders—18 hours of lessons for free”

Practical Deep Learning For Coders—18 hours of lessons for free

Practical Deep Learning For Coders

  • The course exceeded my expectations and showed me first hand how both Deep Learning and ourselves could change the world for better.
  • If you can code, you can do deep learning
  • It is very hands-on and adopts a top-down approach, which means everyone irrespective of varying knowledge can get started with implementing Deep learning models immediately.
  • I now have the tools to apply deep learning models to real world problems.
  • If you are looking to venture into the Deep learning field, look no further and take this course.

fast.ai’s practical deep learning MOOC for coders. Learn CNNs, RNNs, computer vision, NLP, recommendation systems, keras, theano, and much more! neural networks!

Continue reading “Practical Deep Learning For Coders—18 hours of lessons for free”

Billionaire TV

The

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  • GUINNESS WORLD RECORDS™ | Artificial intelligence (AI) : Disrupting the …
  • SOLVING Humanity’s Toughest Challenges
  • The Excellence of Lalique ~ EAT LOVE SAVOR | EAT LOVE SAVOR 4 Jun 2015 +2
  • ” AI is about to transform industry after industry. “

Read the full article, click here.


@ceobillionaire: “The “da Vinci” Program. More: #AI #DeepLearning #SuperIntelligence”


Billionaire TV : “Enterprises deploying our #DeepLearning models won’t follow #Trends; THEY WILL SET THEM!” #AI #Billionaire #Chic #DeepLearning #Haute


Billionaire TV

Google’s art machine just wrote its first song

Google's art machine just wrote its first song

  • 1:45 PM WWDC 2016 will kick off on June 13th at 10AM PT
  • 4:43 AM Watch Jonney Shih announce Asus’ MacBook killer
  • 3:46 PM Don’t take selfies with seals, NOAA says
  • 4:00 AM ‘s how the Asus ZenBook 3 looks next to the MacBook
  • 1:17 PM Sirin Labs’ Solarin is today’s most ridiculous $16,000 Android phone

Read the full article, click here.


@verge: “Google’s art machine just wrote its first song”


Today, Google’s newest machine learning project released its first piece of generated art, a 90-second piano melody created through a trained neural network, provided with just four notes up front….


Google’s art machine just wrote its first song

Next-Generation Infrastructure for Machine Intelligence

Unveiling the custom @nervanasys silicon to accelerate deep learning 10x. Vid: #EmTechDigital

  • Naveen Rao, CEO of Nervana, is working to bring together engineering disciplines and neural computational paradigms to advance the state of the art and make machines smarter.
  • The mission of MIT Technology Review is to equip its audiences with the intelligence to understand a world shaped by technology.
  • Bringing Intelligence to the Industrial Internet
  • Naveen’s fascination with computation in synthetic and neural systems began around age nine, when he began learning about circuits that store information, along with some AI themes prevalent in sci-fi at the time.
  • After a stint in finance doing algorithmic trading optimization at ITG, he most recently was part of Qualcomm’s neuromorphic research group.

Read the full article, click here.


@dfjsteve: “Unveiling the custom @nervanasys silicon to accelerate deep learning 10x. Vid: #EmTechDigital”


Naveen Rao, CEO, Nervana on next-generation infrastructure for machine intelligence.


Next-Generation Infrastructure for Machine Intelligence

[1605.06465] Swapout: Learning an ensemble of deep architectures

Swapout:Learning ensemble of deep architectures (dropout/Res/Stoch. depth)  #deeplearning #ML

  • When viewed as an ensemble training method, it samples a much richer set of architectures than existing methods such as dropout or stochastic depth.
  • We propose a parameterization that reveals connections to exiting architectures and suggests a much richer set of architectures to be explored.
  • Swapout samples from a rich set of architectures including dropout, stochastic depth and residual architectures as special cases.
  • When viewed as a regularization method swapout not only inhibits co-adaptation of units in a layer, similar to dropout, but also across network layers.
  • We conjecture that swapout achieves strong regularization by implicitly tying the parameters across layers.

Read the full article, click here.


@Deep_Hub: “Swapout:Learning ensemble of deep architectures (dropout/Res/Stoch. depth) #deeplearning #ML”



[1605.06465] Swapout: Learning an ensemble of deep architectures

‘Magenta’ Is Google’s New Project To Make Art With Artificial Intelligence

'Magenta' is Google's new project to make art with artificial intelligence

  • The Magenta project will build all of their deep learning models open-source on top of TensorFlow , Google’s open-source artificial intelligence platform, according to Eck.
  • ‘Magenta’ Is Google’s New Project To Make Art With Artificial Intelligence
  • Eck also mentioned a potential Magenta app, which would showcase the music and visual art created out of the Magenta project.
  • Douglas Eck, a researcher on the Magenta project , said that the group will first tackle algorithms that can generate music, then move to video and then other visual arts.
  • On June 1, Google is set to launch Magenta, a research project to explore using artificial intelligence to create art, and make that process easier for TensorFlow users.

Read the full article, click here.


@PopSci: “‘Magenta’ is Google’s new project to make art with artificial intelligence”


On June 1, Google is set to launch Magenta, a research project to explore using artificial intelligence to create art, and make that process easier for TensorFlow users. The group has about six researchers now, and will invite other academics to help try to solve the problem of creative machines. The project exists within Google Brain group.


‘Magenta’ Is Google’s New Project To Make Art With Artificial Intelligence

Google wants to find the art in artificial intelligence (Wired UK)

Google wants to find the art in artificial intelligence

  • In a talk at Moogfest, a US technology festival, Google researcher Douglas Eck described a project that would seek to understand whether or not a computer can create art.
  • Google wants to find the art in artificial intelligence
  • Google is launching a new project to see whether artificial intelligence can create art.
  • The project will initially attempt to create music, before moving onto images and then video
  • Eck hopes the openness of the project will encourage others to improve on the system.

Read the full article, click here.


@WiredUK: “Google wants to find the art in artificial intelligence”


Google is launching a new project to see if artificial intelligence can create art, music and videos


Google wants to find the art in artificial intelligence (Wired UK)