Neural Networks and Tensorflow - Capstone Pt.2
In my first Capstone post I gave a rundown of basic AI terms and how to use Tensorflow to create your own machine learning (ML) script. I’m using Tensorflow to write a script that can process images of roads and determine whether there is an obstacle in the road or not. Since I’m studying self-driving cars, I’d like to see if using biased data to train an object detection script affects the model’s performance. To do this, I’m using a training dataset of clear, bright road images to train a neural network and then testing that script with corrupted images of roads. If the model can’t recognize obstacles in images that are corrupted, then the biased training dataset did have an affect on the model. ...