Tag: Kaggle

Carlo Lepelaars

Convolutional neural networks, leaves, apple trees, plant disease, computer vision, kaggle, weights and biases, wandb

The evolution of mobile CNN architectures

For Weights & Biases I just released a new report researching the evolution of mobile Convolutional Neural Network (CNN) architectures (MobileNet, SqueezeNet, GhostNet, etc.). It also includes a Kaggle Notebook so you compare and experiment with the CNN architectures yourself. Weights & Biases Report Kaggle Notebook

Weights And Biases, logo

Joining Weights & Biases’ Author program

For the last two weeks I started writing for Weights & Biases (W&B) as part of their author program. They are making very cool tools for machine learning engineers. I will highlight some essential features in upcoming blog posts. My first blog post is on getting started with Numerai, which is a data science tournament…
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jigsaw, kaggle, silver, nlp, natural language processing

29th place silver in Jigsaw’s toxic comment classification competition

The Jigsaw Toxic Comment competition on Kaggle is finalized! Our team “No Comment” finished on 29th place out of 1,621 teams. It was loads of fun to work on this competition with Ryan Chesler and Maximilian Jeblick. Learned a lot of new things about NLP and ensembling.

Kaggle, Deepfake, Face detection

79st Place Silver Solution in Kaggle’s Deepfake Detection Competition!

Happy to say that our team got 79st place in Kaggle’s Deepfake Detection competition! This is sufficient for a silver medal. In this blog post I will give an overview of our solution. In essence, we tried to include as much model diversity in our ensemble as possible in order to survive a leaderboard shakeup.…
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Kaggle, Data Science, Artificial Intelligence, EfficientNet, AI, Machine Learning

Achieving Kernels Master and Competitions Expert on Kaggle!

After spending 1.5 years on Kaggle I can confidently say that it has been the most valuable resource for learning Data Science that I encountered. Kaggle will give you a fast way to learn the basics of Data Science and participating in competitions pushes you to research the state-of-the-art and keep learning. Recently, I achieved…
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