AcademyRulesData and reporting
Data and machine learning teams building TensorFlow models who want Cursor to follow sound training and evaluation habits.
mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/tensorflow-deep-learning.mdc -o .cursor/rules/tensorflow-deep-learning.mdcThird party software. By copying, downloading or installing it you accept the Academy legal notice: you are responsible for reviewing its code and permissions before use.
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A Cursor rules file for TensorFlow and deep learning projects. It covers project structure, building a small baseline model first, using Keras and tf.data, training callbacks, splitting data before preprocessing, and reporting suitable metrics and error slices when evaluating models.
Data and machine learning teams building TensorFlow models who want Cursor to follow sound training and evaluation habits. A Cursor rules file for TensorFlow and deep learning projects. It covers project structure, building a small baseline model first, using Keras and tf.data, training callbacks, splitting data before preprocessing, and reporting suitable metrics and error slices when evaluating models.
Run this in your terminal: mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/tensorflow-deep-learning.mdc -o .cursor/rules/tensorflow-deep-learning.mdc
Yes. The code is on GitHub (PatrickJS/awesome-cursorrules) under the CC0-1.0 licence.
It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.