jcatanza/Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.
This project provides study materials for deep learning practitioners following the 'Deep Learning From the Foundations' course by Fastai. It offers annotated Jupyter notebooks and slide decks to clarify concepts and help participants actively engage with the course content. The materials are designed for students learning to apply deep learning techniques using Python and PyTorch.
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Use this if you are a student or practitioner looking for supplementary materials to deepen your understanding and actively participate in the Fastai 'Deep Learning From the Foundations' course.
Not ideal if you are looking for an introduction to the Swift/TensorFlow implementation of the Fastai library or if you prefer learning exclusively from original course videos without hands-on notebook engagement.
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Jan 25, 2020
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