deep-learning-indaba/indaba-pracs-2022
Notebooks for the Practicals at the Deep Learning Indaba 2022.
This project offers interactive tutorials for individuals looking to understand and apply advanced machine learning techniques. It provides practical examples and explanations for implementing cutting-edge deep learning models, helping users go from theoretical concepts to hands-on application. The target audience is machine learning practitioners, researchers, and students who want to deepen their understanding and practical skills in various deep learning subfields.
179 stars. No commits in the last 6 months.
Use this if you are a machine learning professional or student who wants to learn and implement advanced deep learning models such as Transformers, Graph Neural Networks, Generative Models, or Reinforcement Learning, using practical, code-based examples.
Not ideal if you are a beginner with no prior exposure to machine learning or programming concepts, as these tutorials assume some foundational knowledge.
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179
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45
Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Apr 03, 2024
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