What is the principle of operation of the learning algorithm (self-teaching method through neuronal network classification?
Eyebot learns about 13 million features per second. The basic principle is that Eyebot learns small features in relationship with other features. During the learning process, Eyebot learns all the features it sees. In inspection mode during the RUN process, Eyebot complains when it sees features or characteristics that it has never seen before.
Eyebot learns up to 13 million features per second. The basic principle is that Eyebot learns small features in relationship with other features. During the learning process, Eyebot learns all the features it sees. In inspection mode during the RUN process, Eyebot complains when it sees features or characteristics that it has never seen before.