A Conceptual Art about Deep Learning

Observe how I place the same images of the tags on Twitter, Facebook, Steemit and, by way of Steemitimages, to the “control documents” that establish the links on the Internet claimed by the Estate (our topic here). With a rough understanding of how things work it begins to look like there is already enough recognition of the two-dove Woodstock logo to make its characteristics noticeable by Deep Learning algorithms. This is the way this conceptual art event is planed to work.
In stage one, the division into 150 elements of coloration challenges the base level of learning for Deep Learning. That defines the whole goal of the artwork. At this level the plan is to get the attention of the algorithm by being confusing to the logic that evaluates logos, in line with the baseline recognition of artist performance sampling used in copyright and plagiarism detection. The over 75 applications are steadily being added to to build this attraction as this works toward the 150 mark.
The next stage will introduce an extreme learning curve as the Deep Learning encounters sequentially mutable images as they are added alongside the 150 examples in the image archives. From this an autonomous distributed base of 55,000 owners of visually identical colorations, that are being registered as unique images on their own, furthers the awareness of uniformity loss.
The “conceptual art” that these events represent is one that is being applied for the Estate from concepts that follow interrelations only possible with the use of the conceptual properties held by the Estate. This is made to be an intellectual property of the Estate by restricting it to the descriptive artifacts defined in the processes of the art that document the purpose. Everything that evidences material product created under patent that is utilized by this intellectual property and is found to be still a possession when the Estate comes into effect is to be distributed free.