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Approach pre-trained deep learning models with caution
Pre-trained models are easy to use, but are you glossing over details that could impact your model performance? How…
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Seven Myths in Machine Learning Research
Note: this article originally appeared on Oscar Chang’s website at https://crazyoscarchang.github.io/2019/02/16/seven-myths-in-machine-learning-research/ and was reposted here with his permission. We highly encourage…
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A CNN can learn Miró’ surrealism: Joan Miró Neural Style Transfer & DeepDream
Note: this article originally appeared on Raúl Gómez’s website at https://gombru.github.io/2019/01/14/miro_styletransfer_deepdream/ and was reposted here with his permission. We highly encourage…
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Real-time numbers recognition (MNIST) on an iPhone with CoreML from A to Z
Learn how to build and train a deep learning network to recognize numbers (MNIST), how to convert it in the…
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Building reliable machine learning models with cross-validation
Cross-validation is a technique used to measure and evaluate machine learning models performance. During training we create a number of…
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A Data Scientist’s Guide to Communicating Results
So your model is finally done running, you’ve tweaked and optimized all of the hyperparameters you could to obtain the…
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From Observability to Optimization: Announcing the Opik Agent Optimizer Public Beta
At Comet, we’re driven by a commitment to advance innovation in AI, particularly in the realm of LLM observability. Our…
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