How To Automate Hyperparameter Tuning of Tensorflow 2 Models with Keras-Tuner

Bernard Brenyah
Nov 8 · 7 min read
Image credit: Dave Bredeson

Generating deep learning model is highly experimental by nature and design. This experimental feature is also one of the biggest pains of trying to generate deep learning models. It can be time-consuming as well as computationally expensive as one fidgets a lot with lots of tweaks in a bid to get optimal parameters of a model. However, this could (and

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Bernard Brenyah

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I have a love/hate relationship with numbers

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A data analytic blog from a newbie for newbies. Check out the associated GitHub page for all the source codes: https://github.com/PyDataBlog/Python-for-Data-Science

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