Rafael Barbolo

Cofounder/partner at Infosimples and computer engineer by University of São Paulo. Researches artificial intelligence algorithms applied to data.

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TensorFlow is the Deep Learning library with the most growth potential
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Data Science

Deep Learning libraries have gained popularity in Machine Learning applications. Here are the leading ones:

Library Support Top users
Caffe C++, Python NVIDIA, general industry
SINGA C++, Python Apache
Theano Python Yoshua Bengio (University of Montreal),
some researchers at Google
Torch C, Lua Yann LeCun (Facebook)

I'll not get into details on each one. It's worth mentioning that Theano and Torch are mostly used in cientific research, Caffe is mostly used in commercial Machine Learning applications and SINGA was launched recently by the Apache Foundation and seems to compete mostly with Caffe.

At Infosimples we mostly use Caffe because it has great support for processing images. Any of these libraries is a great choice and they have great communities with active development.

A new options was introduced yesterday and that's why I've decided to write this mini article. I'm talking about TensorFlow, developed by a group of renowned researchers at Google. The researchers themselves are a top reason to call our attention. They have published great articles in Machine Learning conferences and some of them have contributed to the development of the libraries I mentioned in the table above.

In addition to being flexible to be used by the cientific community, TensorFlow is also a great choice to deploy commercial applications of Machine Learning, with great support to run in servers, desktops and mobile devices.

I think this tool have everything in place to become a leading resource in Machine Learning development. So, if you want to get into this field, now is a great time. I recommend you to begin with the tutorials of TensorFlow.

I hope to bring more news soon. I'll leave the TensorFlow launch video below.

The greatest invention of life
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Running a Company

I've always felt that death is the greatest invention of life...
without death, life didn't work very well
because it didn't make room for the young.

It (the young) didn't know how the world was fifty years ago.
It didn't know how the world was twenty years ago.
It saw it as it is today, without any preconceptions,
and dreamed how it could be based on that.

We're not satisfied based on the accomplishment of the last thirty years.
We're dissatisfied because the current state didn't live up to their ideals.
Without death there would be very little progress.

One of the things that happens in organizations as well as with people
is that they settle into ways of looking at the world and become satisfied with things
and the world changes and keeps evolving and new potential arises
but these people who are settled in don't see it.

That's what gives start-up companies their greatest advantage.
The sedentary point of view is that of most large companies.


Semantic Analytics with Google Cloud Dataflow (webinar)
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Data Science Events

Tweets stream with semantic analysis - Twitter

September 18, thursday, 9h AM PST

Google is working to provide a new service called Google Cloud Dataflow. It will enable large scale processing of realt-time streaming data, like tweets, activities or events. It may be offered integrated with other Google Cloud services, like Cloud Storage, Big Query and Pub/Sub.

Eric Schmidt, Solutions Architect at Google, will present Google Cloud Dataflow and share how he analyzed the sentiment of millions of tweets streaming real-time from the World Cup in order to track fan response to events happening on the field. He'll show how he calculated average sentiment per team and per match, correlated sentiment with keywords of turning points in the games, and tied it all together with a timeline visualization that lets you track how global fans feel throughout the match.

You can register to the event through the link:

Copyrights in Social Media (webinar)
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Events Running a Company

Copyrights in Social Media - Patrícia Peck Pinheiro Advogados

September 18, thursday, 11h AM PST

Patricia Peck Pinheiro, Founder, Parter, CEO and Director of Innovation at Patricia Peck Pinheiros Advogados, will present an overview about Copyrights in Social Media.

The limits and permissions for image usage became unkown with the convenience of sharing information on social networks. However, have you ever wondered if the content accessible in the web is open to public use?

Watch the webinar and learn how to share content on social media websites the right way and without legal risks.

You can register to the event through the link:

Deep Learning Webinar promoted by NVIDIA
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Data Science Events

Recognising objects using Deep Learning technology powered by an NVIDIA GPU

On September 24, 2014 09:00 AM PST, Yann LeCun will present a free webinar about Deep Learning, specially about Convolutional Neural Networks. The event is promoted by NVIDIA, which recently claimed they will be making Deep Learning applications easier to program with their GPUs.

Register to the event in the link below:

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