project_2_traffic_sign_classifier

所属分类:其他
开发工具:Python
文件大小:560KB
下载次数:1
上传日期:2018-03-22 14:30:54
上 传 者menyuk
说明:  Python object detection based on yolo

文件列表:
project_2_traffic_sign_classifier\img\overview.gif (80562, 2017-11-28)
project_2_traffic_sign_classifier\img\softmax.png (62087, 2017-11-28)
project_2_traffic_sign_classifier\Traffic_Sign_Classifier.ipynb (593419, 2017-11-28)
project_2_traffic_sign_classifier\img (0, 2017-11-28)
project_2_traffic_sign_classifier (0, 2017-11-28)

# Project 2 - Traffic Sign Classification The goal of this project was to build a **CNN** in [TensorFlow](https://www.tensorflow.org/) to **classify traffic sign images** from the [German Traffic Sign Dataset](http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset). Main steps covered in this lab are: - dataset exploration and visualization - data augmentation - deep network design and training - visualization of the certainty/uncertainty of the model's predictions You can find my submission [here](https://github.com/ndrplz/self-driving-car/blob/master/project_2_traffic_sign_classifier/Traffic_Sign_Classifier.ipynb).

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