Deep Learning has changed the entire landscape over the past few years and its results are steadily improving. This article presents some of the main advances and accomplishments in Deep Learning for 2018.

The major advancements in Deep Learning in 2018

This is the story of a group of computer vision, IoT and full-stack specialists that went on a mission to create a robot that could be remotely controlled from home and show the remoter worker what takes place at the office.

How we built a stand-in robot for remote workers using IoT and computer vision

Amazon Web Services (AWS) offers great cloud computing services to make the deployment of your apps easier. In this workshop for AWS beginners, you'll learn how to deploy a demo application using several basic services available in the AWS stack!

Getting started with AWS: open source workshop

I was invited to give a keynote talk at the PyCon APAC 2018 in Singapore. It was an honor to be asked to be a keynote speaker and I was especially excited that this time it was for a conference taking place in Asia-Pacific. Read here about my main learnings, my talk & the conference highlights!

My PyCon APAC 2018 experience in Singapore

With portable devices gathering more and more data to later be analyzed by algorithms, collaborations between hardware and software consulting companies become evermore necessary. We compared our work to the one of a hardware shop and identified similarities, differences and opportunities.

Software consulting meets hardware consulting: learnings and opportunities

Recommender systems aim to predict users' interests and recommend product items that quite likely are interesting for them. They are among the most powerful machine learning systems that e-commerce companies implement in order to drive sales.

Introduction to Recommender Systems

On previous blog posts, we have talked about Luminoth, our own open-source computer vision toolkit, built upon Tensorflow and Sonnet. Well, we just released a new version, so this is a good time as any to dive into it!

Announcing Luminoth 0.1: new object detection models, checkpoints and more!

We'll be hosting a hands-on workshop at the PyImageConf 2018 in San Francisco! A practical session in which we'll talk about how to use Deep Learning for Object Detection, powered by Luminoth. Get details about it here!

Hosting an Object Detection workshop and sponsoring at the PyImageConf

Introduction to Visual Question Answering: Datasets, Approaches and Evaluation

In this post, I'll explain the architecture of Faster R-CNN, starting with a high level overview, and then go over the details for each of the components. You'll be introduced to base networks, anchors as well as the region proposal network.

Faster R-CNN: Down the rabbit hole of modern object detection

Top 10 Python libraries of 2017

The use of Deep Learning for NLP (Natural Language Processing) is widening and yielding amazing results. This overview covers some major advancements & recent trends.

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A blog dedicated to state-of-the-art technology, experiences, and random thoughts.

The major advancements in Deep Learning in 2018

How we built a stand-in robot for remote workers using IoT and computer vision

Getting started with AWS: open source workshop

My PyCon APAC 2018 experience in Singapore

Software consulting meets hardware consulting: learnings and opportunities

Introduction to Recommender Systems

Announcing Luminoth 0.1: new object detection models, checkpoints and more!

Hosting an Object Detection workshop and sponsoring at the PyImageConf

Introduction to Visual Question Answering: Datasets, Approaches and Evaluation

Faster R-CNN: Down the rabbit hole of modern object detection

Top 10 Python libraries of 2017

Deep Learning for NLP: Advancements & Trends

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