ionvision/DeepLearningCourseCodes
Notes, Codes, and Tutorials for the Deep Learning Course
This is a collection of educational materials to help you learn and apply deep learning techniques. It provides practical code examples and tutorials that demonstrate how to build various neural networks, from basic linear regression to advanced convolutional neural networks. This resource is for students, researchers, or practitioners who want to understand and implement deep learning models for tasks like image classification, object detection, and segmentation.
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Use this if you are a deep learning student or researcher looking for hands-on code examples and structured tutorials to learn how to implement various deep learning models.
Not ideal if you are looking for a high-level API or a ready-to-use application to solve a specific problem without needing to understand the underlying implementation details.
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263
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Nov 04, 2017
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