AIPI540/AIPI540-Deep-Learning-Applications
This repo contains demo code notebooks accompanying the AIPI 540: Deep Learning Applications course in Duke University's Master of Engineering in AI for Product Innovation program
This collection of code notebooks helps aspiring AI product innovators understand and implement deep learning solutions. It provides hands-on examples for building systems that can analyze images, process natural language, and create recommendation engines. Product managers, data scientists, and engineers looking to apply AI in real-world products will find these practical demonstrations useful.
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Use this if you are a student or practitioner learning to build deep learning applications and need practical, code-based examples for computer vision, natural language processing, and recommendation systems.
Not ideal if you are looking for a ready-to-use software product or a theoretical deep dive without code examples.
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Jupyter Notebook
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MIT
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Dec 09, 2024
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