ITC
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
ITC | Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | |
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1 | 8 | |
4 | 57 | |
- | - | |
10.0 | 3.6 | |
over 1 year ago | about 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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ITC
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Help regarding Perceptron exercise. Im having trouble understanding how to implement it in MATLAB. Its my first time trying, I was able to do previous excersises but Im not sure about this and would really appreciate some help. Links of my code in the comments.
Thank you so much to everyone. I leave the code if interested https://github.com/SeaWar741/ITC/blob/master/7to_Semestre/INT301-2223-S1-Bio-Computation/Lab1/Exercise2.m
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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