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Deep Learning 101
Detecting Ships from Satellite Imagery
In this project, we will train a deep learning model based on Convolutional Neural Networks (CNNs) to detect ships in the satellite images. Satellite imagery are critical in many applications such as defense, agriculture, surveillance and intelligence. This project aims at detecting large vessels (ships) in sea from satellite images using Artificial Intelligence. This project is an introductory project for beginners in deep learning and computer vision.
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 1.5 hours |
| Starts | Apr 12 (earlier today) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Ryan Ahmed |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Data Analysis Software Development |
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 1.5 hours |
| Starts | Apr 12 (earlier today) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Ryan Ahmed |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Data Analysis Software Development |
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