Artificial Intelligence By Example

Convergence

Building the system was fun. Finding the factors that make the system go wrong is another story. 

The model presented so far can be summed up as follows:

From lv to R, the process creates the reward matrix (Chapter 2, Think Like a Machine) required for the reinforcement learning program (Chapter 1, Become an Adaptive Thinker), which runs from reading R (reward matrix) to the results. Gamma is the learning parameter, Q is the Q learning function, and the results are the states of Q described in the first chapter.

The parameters to be measured are as follows:

• The company's input data. The training sets found on the Web such as MNIST ...