honghanhh/fsdl_2022_solution
Solution of Full Stack Deep Learning - Course 2022
This project provides practical, step-by-step solutions in Jupyter Notebook format for exercises from the Full Stack Deep Learning 2022 course. It helps machine learning engineers and aspiring deep learning practitioners understand how to build and deploy robust deep learning applications. Users get working code examples that illustrate concepts taught in the course.
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Use this if you are taking the Full Stack Deep Learning 2022 course and need to review or unblock yourself on lab exercises covering topics from PyTorch to model deployment.
Not ideal if you are looking for a general-purpose deep learning library or a standalone guide that does not relate to the FSDL 2022 curriculum.
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Nov 01, 2022
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