Residual neural networks are an exciting area of deep learning research — Init.ai Decoded

Residual neural networks are an exciting area of #deeplearning research. 1000 layers! #AI

  • The paper Deep Residual Networks with Exponential Linear Unit , by Shah et al., combines exponential linear units, an alternative to rectified linear units, with ResNets to show improved performance, even without batch normalization.
  • ResNets will be important to enable complex models of the world.
  • ResNets tweak the mathematical formula for a deep neural network.
  • The paper enables practical training of neural networks with thousands of layers.
  • I am highlighting several recent papers that show the potential of residual neural networks.

Read the full article, click here.


@StartupYou: “Residual neural networks are an exciting area of #deeplearning research. 1000 layers! #AI”


The identity function is simply id(x) = x; given an input x it returns the same value x as output.


Residual neural networks are an exciting area of deep learning research — Init.ai Decoded

Artificial Intelligent Art May Soon be on the Cards for Google

Artificial Intelligent Art May Soon be on the Cards for Google  #AI

  • Google’s new project, Magenta is due to be released on June 1 and is set to take the world of art by storm.
  • Currently listed on GitHub, the project is soon to spark interest and may be developed faster than Google expected.
  • The necessity of public safety has driven Google to patent…
  • Artificial Intelligent Art May Soon be on the Cards for Google
  • The project is part of the Google Brain group, which is a deep learning project that has been operating since 2011 and is focused on solving the problems scientist face with artificial intelligence.

Read the full article, click here.


@adamfalat: “Artificial Intelligent Art May Soon be on the Cards for Google #AI”


Google’s new project, Magenta is due to be released on June 1 and is set to take the world of art by storm. The project is part of the Google Brain group, which


Artificial Intelligent Art May Soon be on the Cards for Google

HfS Webinar: Smart Process Automation in Enterprise Business

HFS WEBINAR: SMART PROCESS AUTOMATION IN ENTERPRISE BUSINESS | #MachineLearning #Business #…

  • Adding Intelligence to Business Process Automation through Machine Learning
  • How this new breed of automation improves on legacy solutions
  • Global businesses must cut operational cost and improve agility, and Smart Process Automation – which combines workforce orchestration, RPA and cognitive automation – delivers on this imperative.
  • The webinar brings together practitioners and experts on smart process automation from HfS Research, WorkFusion, Ascension Health and others to share experiences about how to improve business outcomes through more integrated automation technologies.
 

  • HfS Webinar: Finance in the Digital Age Watch Now!

Read the full article, click here.


@Ronald_vanLoon: “HFS WEBINAR: SMART PROCESS AUTOMATION IN ENTERPRISE BUSINESS | #MachineLearning #Business #…”


Join us June 2nd, 11 AM ET: Experts from HfS Research, WorkFusion, Ascension Health and others will discuss how to solve for business outcomes through more integrated automation technologies.


HfS Webinar: Smart Process Automation in Enterprise Business

What Deep Learning and Machine Learning Mean For the Future of SEO

What Deep Learning and Machine Learning Mean For the Future of #SEO - Whiteboard Friday

  • Discuss emerging growth opportunities with top growth hackers like Sean Ellis and Morgan Brown
  • Follow specific topics like viral marketing, growth hacks and early traction
  • Yes, create my free account No thanks, I just want the email
  • Use the feedback box below if you have a question, comment or general feedback.
  • Log in with Twitter or log in with email to post a comment.

Read the full article, click here.


@GrowthHackers: “What Deep Learning and Machine Learning Mean For the Future of #SEO – Whiteboard Friday”


Imagine a world where even the high-up Google engineers don’t know what’s in the ranking algorithm. We may be moving in that direction


What Deep Learning and Machine Learning Mean For the Future of SEO

10 Free Machine Learning books

10 Free #MachineLearning and #AI books:  #abdsc #BigData #DataScience

  • You need to be a member of Data Science Central to add comments!
  • An earlier version, Data Science 1.0 (also free, somewhat outdated) can be found .
  • Click to discover dozens of free data science and machine learning related books.
  • Added by Tim Matteson 0 Comments 0 Likes
  • Most of the upcoming Data Science 2.0 book is available for free .

Read the full article, click here.


@KirkDBorne: “10 Free #MachineLearning and #AI books: #abdsc #BigData #DataScience”


Enjoy the reading!

Machine Learning, Neural Networks, and Statistical Classification
Bayesian Reasoning and Machine Learning
Gaussian Processes for Machine Le…


10 Free Machine Learning books

13 Great Data Science Infographics

13 Great #DataScience #Infographics:  #abdsc #BigData #Python #MachineLearning #DataViz

  • You need to be a member of Data Science Central to add comments!
  • Comparing Data Science and Analytics
  • What is big data – Infographics by Bernard Marr
  • Most of the infographics are tutorials covering various topics in big data, machine learning, visualization, data science, Hadoop, R or Python, typically intended for beginners.
  • Great Infographics Explains How it Works

Read the full article, click here.


@KirkDBorne: “13 Great #DataScience #Infographics: #abdsc #BigData #Python #MachineLearning #DataViz”


Most of these infographics are tutorials covering various topics in big data, machine learning, visualization, data science, Hadoop, R or Python, typically int…


13 Great Data Science Infographics

Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification

End-to-end #MachineLearning: Automatic Image Colorization with Classification  #DataScience

  • Based on Convolutional Neural Networks, our deep network features a fusion layer that allows us to elegantly merge local information dependent on small image patches with global priors computed using the entire image.
  • We present a novel technique to automatically colorize grayscale images that combines both global priors and local image features.
  • The entire framework, including the global and local priors as well as the colorization model, is trained in an end-to-end fashion.
  • The output of our model is the chrominance of the image which is fused with the luminance to form the output image.
  • Our architecture can process images of any resolution, unlike most existing approaches based on CNN. We leverage an existing large-scale scene classification database to train our model, exploiting the class labels of the dataset to more efficiently and discriminatively learn the global priors.

Read the full article, click here.


@MikeTamir: “End-to-end #MachineLearning: Automatic Image Colorization with Classification #DataScience”


We present a novel technique to automatically colorize
grayscale images that combines both global priors and local
image features. Based on Convolutional Neural Networks, our
deep network features a fusion layer that allows us to
elegantly merge local information dependent on small image
patches with global priors computed using the entire image. The
entire framework, including the global and local priors as well
as the colorization model, is trained in an end-to-end fashion.
Furthermore, our architecture can process images of any
resolution, unlike most existing approaches based on CNN. We
leverage an existing large-scale scene classification database
to train our model, exploiting the class labels of the dataset
to more efficiently and discriminatively learn the global
priors. We validate our approach with a user study and compare
against the state of the art, where we show significant
improvements. Furthermore, we demonstrate our method
extensively on many different types of images, including
black-and-white photography from over a hundred years ago, and
show realistic colorizations.


Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification