yzhbradoodrrpurp/EECS498
Collection of assignments and resources from Umich EECS498 Fall 2019.
This collection of assignments and resources helps deep learning practitioners understand and implement various neural network architectures and machine learning concepts. You'll work through practical examples that take you from basic PyTorch operations to building complex models for image classification, object detection, and even creative tasks like style transfer. This is ideal for students, researchers, or anyone learning to apply deep learning techniques.
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Use this if you want to gain hands-on experience building foundational deep learning models and understanding their underlying mechanisms.
Not ideal if you are looking for a plug-and-play solution for an existing problem or high-level APIs for rapid prototyping without needing to understand the implementation details.
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Aug 25, 2025
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