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Machine Learning
Predict Numbers from Handwritten Digits using a Neural Network, Keras, and R
In this 1-hour long project-based course, you will learn how to build a Neural Network Model using Keras and the MNIST Data Set. By the end of the course you will have built a model that will recognize the digits of hand written numbers. You will also be exposed to One Hot Encoding, Neural Network Architecture, Loss Optimizers and Testing of the Model's performance.
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 |
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| Length | 2 weeks |
| Effort | 2 Hours |
| Starts | Jul 3 (42 weeks ago) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Chris Shockley |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Science Data Analysis |
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 2 Hours |
| Starts | Jul 3 (42 weeks ago) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Chris Shockley |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Science Data Analysis |
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