Tag: deep learning

Thoughts after taking the Deeplearning.ai courses of Andrew Ng

TheSmithy

Between a full time job and a toddler at home, I spend my spare time learning about the ideas in cognitive science & AI. Once in a while a great paper/video/course comes out and you’re instantly hooked.

Andrew Ng’s new deeplearning.ai course is like that Shane Carruth or Rajnikanth movie that one yearns for!

Naturally, as soon as the course was released on coursera, I registered and spent the past 4 evenings binge watching the lectures, working through quizzes and programming assignments.

 

The article

Machine learning (Coursera)

Deep learning specialization (Coursera)

open source tools for Deep Learning

TheSmithy

Source: The major advancements in Deep Learning in 2016 – Tryolabs Blog

Open source tools are everywhere (as we highlighted in our 10 main takeaways from MLconf SF blogpost). They are used and created by researchers and companies. Here is a list of the most popular tools in 2016 for Deep Learning:

  • TensorFlow by Google.
  • Keras by François Chollet.
  • CNTK by Microsoft.
  • MXNET by Distributed (Deep) Machine Learning Community. Adapted by Amazon.
  • Theano by Université de Montréal.
  • Torch by Ronan Collobert, Koray Kavukcuoglu, Clement Farabet. Widely used by Facebook.

 

The major advancements in Deep Learning in 2016 – Tryolabs Blog

TheSmithy

Deep Learning has been the core topic in the Machine Learning community the last couple of years and 2016 was not the exception. In this article, we will go through the advancements we think have contributed the most (or have the potential) to move the field forward and how organizations and the community are making sure that these powerful technologies are going to be used in a way that is beneficial for all.

Source: The major advancements in Deep Learning in 2016 – Tryolabs Blog