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Patryk Miziuła

About Patryk Miziuła

This author has yet to write their bio.
Meanwhile lets just say that we are proud Patryk Miziuła contributed a whooping 6 entries.

Entries by Patryk Miziuła

Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning

October 3, 2018 in Deep learning, Machine learning /by Patryk Miziuła

In our previous post, we gave you an overview of the differences between Keras and PyTorch, aiming to help you pick the framework that’s better suited to your needs. Now, it’s time for a trial by combat. We’re going to pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

Four ways to use a Kaggle competition to test artificial intelligence in business

August 24, 2018 in Data science /by Patryk Miziuła

For companies seeking ways to test AI-driven solutions in a safe environment, running a competition for data scientists is a great and affordable way to go – when it’s done properly. According to a McKinsey report, only 20% of companies consider themselves adopters of AI technology while 41% remain uncertain about the benefits that AI […]

Crime forecasting – ‘Minority Report’ realized

September 28, 2017 in Data science, Machine learning /by Patryk Miziuła

Everybody who watched ‘Minority Report’ daydreams about crime forecasting in the real world. We have good news: machine learning algorithms can do that!

How to create a product recognition solution

August 22, 2017 in Data science, Deep learning, Machine learning, Neptune /by Patryk Miziuła

In this post we present how to approach product recognition through the example of our solution for the iMaterialist challenge announced by CVPR and Google.

Region of interest pooling in TensorFlow – example

April 25, 2017 in Data science, Deep learning, Machine learning, Neptune /by Patryk Miziuła

In the previous post we explained what region of interest pooling (RoI pooling for short) is. In this one, we present an example of applying RoI pooling in TensorFlow. We base it on our custom RoI pooling TensorFlow operation. We also use Neptune as a support in our experiment performance tracking.

An internal validation leaderboard in Neptune

January 19, 2017 in Data science, Deep learning, Machine learning, Neptune /by Patryk Miziuła

Internal validation is a useful tool for comparing results of experiments performed by team members in any business or research task. It can also be a valuable complement of public leaderboards attached to machine learning competitions on platforms like Kaggle. In this post, we present how to build an internal validation leaderboard using Python scripts […]

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