Hi guys! My name Robert. I'm currently a student at OTH Regensburg. Due to a 2 months project work I had my first hands on experience with python, TensorFlow and convolutional neural networks. The jupyter notebook and the code that goes with it are some results of that work. All of that content is supposed to help sutdents getting started with TensorFlow and give some insights into CNNs.
<> Build a CNN for traffic sign classification with ~ 99.1 % accuracy based on the GTSRB <> Use TensorFlow and Python to do all the work <> Get a feeling on how CNNs work <> What to keep in mind when working with a CNN
<> TensorFlow with GPU support (and a supported GPU!) <> 16 GB RAM (since we will do all the stuff quick and dirty ;) <> skimage and OpenCV for python 3.5.x
The .ipynb-notebook has some images and gifs included which sum up to a total of ~18MB