In this example, we will try to figure out what makes people like pictures on Instagram more. To do so, we will use Cognitive Services Vision API. Computer Vision contains pretty powerful pre-trained neural network models that can extract a lot of interesting info - you can test it on this page by uploading your own photos.
To run the sample, you would need to run Jupyter Notebook LikesLearning.ipynb. The best way to do that is via Visual Studio CodeSpaces, where you can easily create an online environment that will run the code. You may also use other tools, such as Binder.
