Riminder/deep-learning-practical-course
Introduction to Deep Learning from theory to deployment
This course helps aspiring machine learning engineers and data scientists understand the fundamentals of deep learning, from core theory to practical application. It covers how to build models for tasks like image recognition and natural language processing, providing the foundational knowledge needed to work with AI technologies. You will learn the entire deep learning workflow, including deployment considerations.
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Use this if you are a junior data scientist or machine learning engineer looking to gain a comprehensive introduction to deep learning concepts and their real-world implementation.
Not ideal if you are an experienced deep learning practitioner seeking advanced research topics or highly specialized techniques.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 07, 2018
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