Content tagged neural-network
There was no understandable and straightforward implementation of SSD in TensorFlow, so I decided to make one. The original paper assumes familiarity with related research, so I needed to plow through several additional papers and a ton of source code to understand what's going on here. This post is an attempt to provide all that missing context in one place.
Semantic segmentation is a process of dividing an image into sets of pixels sharing similar properties and assigning one of the pre-defined labels to each of these sets. Or, in other words, you get a picture, and you're supposed to tell which pixels constitute a car and which constitute the pedestrians. Fun stuff.
You get to drive a car in a game capturing some images and the corresponding steering angle. You then use that data to build a neural network that spits out a steering angle for an input image such that the computer can drive the same car in the same game. The computer learns how to drive from you, hence behavioral cloning.