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    Deep Learning cheatsheets

    Deep Learning cheatsheets

    VIP cheatsheets for Stanford's CS 230 Deep Learning

    Deep Learning cheatsheets forStanford's CS 230 is an educational repository that compiles comprehensive cheat sheets, summaries, and study resources covering the core concepts taught in Stanford’s CS230 Deep Learning course. The project organizes complex machine learning topics into visually structured reference materials that simplify studying neural networks, convolutional architectures, recurrent networks, optimization strategies, and training methodologies.
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    stanford-tensorflow-tutorials

    stanford-tensorflow-tutorials

    This repository contains code examples for the Stanford's course

    This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found in the site. For this course, I use python3.6 and TensorFlow 1.4.1.
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