How to fine-tune the CNN VGG-11 model to extract features and classify images to their art style

Founder and CTO of Shiba and the author of Feature Engineering Bookcamp, Sinan Ozdemir demonstrates how to use core tenants of feature engineering to build your own art recommendation engine from scratch. He uses state-of-the-art models like VGG-11 and BERT alongside classic feature engineering techniques algorithms to construct and fine-tune a pipeline to produce art recommendations.

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This video references the book | Feature Engineering Bookcamp
Get it here: http://mng.bz/yv2y
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