What is the Benefits of Contour Annotations While Creating Image Training Data Sets for AI or ML?

Image data sets annotated with Contour annotations definitely have some benefits. Actually, this method of annotation allows you to place contour labels on the contour plots and represent the numerical value of entire contour line. Contour Annotations Benefits for Image Data Sets The best part of this tool is output of this tool is a…

Hyperparameter optimisation over entire range or shorter range of training episodes in Deep Reinforcement Learning

I am optimising hyperparameters for my deep reinforcement learning project (using PPO2, DQN and A2C) and was wondering: Should I find the optimum hyperparameters to get maximum reward from training over my entire range of training (e.g. 50 million steps) or can I optimise over less time (e.g. 1 million steps)? What is the conventional…

What is the term for an RNN that is a completely connected directed graph?

There seems to be a severe problem with the taxonomy of neural network topologies. What I’d like to know is the term I should use to search for the most general topology: completely connected directed cyclic graph (henceforth CCDCGRNN). This is because all other topologies degenerate by constraint from CCDCGRNN. This includes topologies that are…