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https://blog.tensorflow.org/2019/02/effective-tensorflow-20-best-practices.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnG6dJv4-THd3fvrEqLTs6Z75NLfpP9IBjnnNntRLz-VhvfOgbKl_ZBYWOhIzSQiKuIOIRKpBIhXQtsfFTmKu2a8tsvSIIRF6Cl-QkJJR3Rb2QKBFIPzOQgG-zToE7zU1Orn4o-cau7cM/s1600/1_b4otA55Us-hoI57lqUfplA.png February 13, 2019 — Posted by the TensorFlow Team In a recent article, we mentioned
https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtIwhfU9hN31oZq-g0biojjwbrQsBHV-Kbw-vv_mwqR7cmT7kS7anbCDv4VwUsBA_QWIJfYSHrYDPekwUhP62N7QhXG8OoChmjXGtJ2xN44e5kNdBDSe_bPoO4_SL_0ntOw76HXI2t5yw/s1600/bodypix2-twitter.gif November 18, 2019 — Update(November 18th, 2019) BodyPix 2.0 has been released, with multi-person support and improved accuracy (based on ResNet50), a new API, weight quant
Interpretable Machine Learning is a comprehensive guide to making machine learning models interpretable "Pretty convinced this is the best book out there on the subject" – Brian Lewis, Data Scientist at Cornerstone Research Summary This book covers a range of interpretability methods, from inherently interpretable models to methods that can make any model interpretable, such as SHAP, LIME, and per
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