honghanhh/fsdl_2022_solution

Solution of Full Stack Deep Learning - Course 2022

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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.

No commits in the last 6 months.

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.

deep-learning-education ml-engineering model-deployment experiment-management data-annotation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 14 / 25

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Apache-2.0

Last pushed

Nov 01, 2022

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