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www.jonnor.com
| | explosion.ai
13.2 parsecs away

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| | Machine learning systems are built from both code and data. It's easy to reuse the code but hard to reuse the data, so building AI mostly means doing annotation. This is good, because the examples are how you program the behaviour - the learner itself is really just a compiler. What's not good is the current technology for creating the examples. That's why we're pleased to introduce Prodigy, a downloadable tool for radically efficient machine teaching.
| | neuralnetworksanddeeplearning.com
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| | pyimagesearch.com
9.5 parsecs away

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| | This gentle guide will show you how to implement, train, and evaluate your first Convolutional Neural Network (CNN) with Keras and deep learning.
| | www.evidentlyai.com
57.2 parsecs away

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| In this blog, we recap the Ask-Me-Anything session with Ben Wilson. We chatted about AutoML use cases, deploying ML models to production, and how one can learn about ML engineering.