YunYang1994/TensorFlow2.0-Examples
🙄 Difficult algorithm, Simple code.
This project offers practical code examples and tutorials to help machine learning engineers, data scientists, and AI researchers quickly learn and implement various deep learning algorithms. It takes complex machine learning concepts and demonstrates them with clear, runnable code, making it easier to build and understand models. You'll put in a problem description and relevant data, and get out a trained machine learning model capable of tasks like object detection or image recognition.
1,708 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for concrete, runnable examples to understand and apply various deep learning models, especially for computer vision tasks.
Not ideal if you are a non-technical end-user seeking a ready-to-use application, or if you are looking for introductory concepts of machine learning without any coding involved.
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Jupyter Notebook
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MIT
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Last pushed
Mar 25, 2023
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