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Locations
United States of America
- deepsense.ai, Inc.
- 2100 Geng Road, Suite 210
- Palo Alto, CA 94303
- United States of America
Poland
- deepsense.ai Sp. z o.o.
- al. Jerozolimskie 44
- 00-024 Warsaw
- Poland
- ul. Łęczycka 59
- 85-737 Bydgoszcz
- Poland
Let us know how we can help
- Our service offerings
- contact@deepsense.ai
- Media relations
- media@deepsense.ai
Why do we need more data scientists and why should you become one?
/in Data science /by Anna KowalczykThe number of data scientists has grown over 650% over the past five years. Machine learning and deep learning skills are in huge demand at present, and the list of reasons you should join those already working in the profession is broad.
Artificial intelligence imagining and reasoning about the future
/in Data science, Deep learning, Machine learning /by Anna Kowalczykdeepsense.ai ML team has been working with Google Brain on helping AI imagine and reason about the future. They started from optimizing TensorFlow’s infrastructure for reinforcement learning and moved to end-to-end training of AI entirely on Google’s newest Cloud TPUs.
Starting deep learning hands-on: image classification on CIFAR-10
/in Deep learning, Neptune /by Piotr MigdalTired of overly theoretical introductions to deep learning? Experiment hands-on with CIFAR-10 image classification with Keras by running code in Neptune.
Image classification sample solution for Kaggle competition
/in Deep learning, Neptune /by Jakub CzakonWe’ve open sourced image classification sample solution that lets data scientists start competing in the currently running Kaggle Cdiscount competition.
Using deep learning for Single Image Super Resolution
/in Data science, Deep learning /by Katarzyna KańskaWe apply three different deep learning models to reproduce state-of-the-art results in single image super resolution.
Fall 2017 release – launching Neptune 2.1 today!
/in Data science, Deep learning, Machine learning, Neptune /by Mariusz GądarowskiWe’re thrilled today to announce the latest version of Neptune: Machine Learning Lab. This release will allow data scientists using Neptune to take some giant steps forward. Here we take a quick look at each of them.
Solving Atari games with distributed reinforcement learning
/in Data science, Deep learning, Neptune /by Igor AdamskiWe present the result of research conducted at deepsense.ai, that focuses on distributing a reinforcement learning algorithm to train on a large CPU cluster
Crime forecasting – ‘Minority Report’ realized
/in Data science, Machine learning /by Patryk MiziułaEverybody who watched ‘Minority Report’ daydreams about crime forecasting in the real world. We have good news: machine learning algorithms can do that!
Human log loss for image classification
/in Data science, Deep learning /by Piotr MigdalDeep learning vs human perception: creating a log loss benchmark for industrial & medical image classification problems (e.g. cancer screening).
How to create a product recognition solution
/in Data science, Deep learning, Machine learning, Neptune /by Krzysztof Dziedzic and Patryk MiziułaIn this post we present how to approach product recognition through the example of our solution for the iMaterialist challenge announced by CVPR and Google.