In this tutorial, we will visualize the various features detected by different channels of the deep layers of the convolutional neural network model called Inception. In this machine learning problem, instead of fixing the input/output and learning the weights, we fix the weights and learn what input maximizes the output.
https://www.olgapaints.net/blog/2018/7/27/inception-getting-started-y3x3r
I have been playing around with generating images using the Inception5h model that has been trained on around a million images from the 1000 Imagenet categories. When I first started this, being relatively new to tensorflow, I wished there was a simple guide, explaining exactly what each line of the code was doing. So if you find yourself in this situation, if you are new to tensorflow, Python, and/or neural networks or machine learning in general, this tutorial is for you!
https://www.olgapaints.net/blog/2018/7/27/inception-getting-started