NYU-DLSP20
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
| NYU-DLSP20 | Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | |
|---|---|---|
| 2 | 8 | |
| 6,627 | 57 | |
| - | - | |
| 6.1 | 3.6 | |
| 3 months ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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NYU-DLSP20
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A collection of some of the best PyTorch courses for beginners to learn PyTorch online
And of course our NYU DL course 😉 https://github.com/Atcold/pytorch-Deep-Learning
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Week 6 practicum notebook
I am going through week 6 practicum notebook. Can someone shed some light on the following code in train method:
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
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