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Regression with Automatic Differentiation in TensorFlow
In this 1.5 hour long project-based course, you will learn about constants and variables in TensorFlow, you will learn how to use automatic differentiation, and you will apply automatic differentiation to solve a linear regression problem. By the end of this project, you will have a good understanding of how machine learning algorithms can be implemented in TensorFlow.
In order to be successful in this project, you should be familiar with Python, Gradient Descent, Linear Regression.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 1.5 hours |
| Starts | Jul 10 (43 weeks ago) |
| Cost | $9 |
| From | Rhyme, Coursera Project Network via Coursera |
| Instructor | Amit Yadav |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Algorithms Machine Learning |
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 1.5 hours |
| Starts | Jul 10 (43 weeks ago) |
| Cost | $9 |
| From | Rhyme, Coursera Project Network via Coursera |
| Instructor | Amit Yadav |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Algorithms Machine Learning |
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