With advancements we make in the world of technology, humanity has proven to be creative in many ways. Every discovery takes us deeper into the innovative things that can be done with the use of technology. And maybe it was with this dominant thought in mind that Google came up with the DeepDream Algorithm.
Ever since Google introduced its DeepDream Algorithm to the world, it has made dreams come true. This amazing app developed by Google’s engineers make use of Artificial Neural Networks and shows you exactly what it can see in the image provided. And these resulting images are exactly what result in the dream-like effect. The results certainly make you feel as if they were coming from your thoughts and thus came the unusual name DeepDream. While artificial intelligence isn’t something unheard of anymore, this new development by Google is certainly one of a kind.
Hard Work & Creativity
The DeepDream Algorithm is certainly not a simple piece of code. Engineers at Google worked hard to create such a code that enables a computer to identify an image inside another image, that too with a lot of precision. And of course, it was not done in a single attempt. Constant testing and error detection were required to create this amazing technology. One of the blog posts on the Official Google Research Blog is imperative in understanding how this technology works. This blog post explains how the Artificial Neural Networks are implemented in the DeepDream Algorithm.
Reason for Developing DeepDream
The main reason engineers at Google decided to develop this algorithm is that they wanted to know what would happen if they tried to create a software different from others – one that can identify things that are not part of the picture but still appear to be present. This idea was then implemented, and software was developed that could not only just identify these imaginary images, but also refine them to make the picture clearer to the human eye.
Confusing isn’t it? Here is a simple example. Suppose we ask the network to look for pictures of cats in the picture. This leads to the creation of a feedback loop. If a part of the image seems a little like a cat, then the software will identify it each time it passes that part thus refining it until a detailed picture of a cat appears.
That’s not all; we can even allow the network to create its results by not giving it any input. This creates a series of new achievements that can be endless.
Harmful for Painters & Artists?
One would think that such a creative and artistic technology could prove harmful to the livelihood of painters and artists who follow the rules of their brush. Well, the answer to this is probably not. Not everyone who tried the DeepDream Algorithm managed to create good pictures. Most of the pictures look like a painting of a mandala you would find in a dorm room.
This DeepDream technology is not just for entertainment; it can also be used as a portal to learn more about the science of dreaming. One of the many things not understood by man is how humans experience some high quality, intense dreams in their sleep. With the DeepDream technology, there may be a chance to learn how some features of such ideas are related to what we view while awake. But no evidence of this has been provided yet.
If you are a Windows user and want to try to create your artistic images using the DeepDream Algorithm, then you can find the steps here.
LSI Keywords: DeepDream Algorithm,DeepDream technology, Artificial Neural Networks, creative and artistic technology
