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And finally, you will close out the specialization with an introduction to deep learning basics, including choosing model architectures, building/training neural networks with libraries, and hands-on ...
It facilitates users to finetune deep neural networks using transfer learning and is written in Python ... that has some useful examples as well as a Monk GUI(GitHub) tool that looks similar ...
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