  Due to the growth of the population with hearing problems, devices have been
developed that facilitate the inclusion of deaf people in society, using
technology as a communication tool, such as vision systems. Then, a solution to
this problem is presented using neural networks and autoencoders for the
classification of American Sign Language images. As a result, 99.5% accuracy
and an error of 0.01684 were obtained for image classification
