gyuho/dplearn
Learn Deep Learning The Hard Way
This project offers a hands-on way for machine learning engineers or researchers to understand the inner workings of deep learning systems. It provides a concrete example, like distinguishing cats from non-cats in images, where you input image data and get classification results. It's designed for those who want to learn by building and observing the system components in action.
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Use this if you are a deep learning practitioner who wants to learn the fundamental architecture and implementation details of a deep learning application from scratch.
Not ideal if you are looking for a high-level library to quickly apply pre-built deep learning models without understanding their underlying mechanisms.
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Go
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Last pushed
Dec 29, 2022
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