![]() It quickly became an online sensation because of the trippy pictures it could generate, filled with algorithmic pareidolia artifacts, bird feathers, and dog eyes - a byproduct of the very fact that the Deep Dream convnet was trained on Image Net, where dog breeds and bird species are vastly overrepresented. It had been first released by Google within the summer of 2015, as an application written using the Caffe deep-learning library. Descriptionĭeep Dream is an inventive image-modification technique that uses the representations learned by convolutional neural networks. Google’s program spread the term (deep) “dreaming” to ask the generation of images that produce desired activations during a trained deep network, and therefore the term now refers to a set of related approaches. He used a convolutional neural network to seek out and enhance patterns in images via algorithmic pareidolia by creating a dream-like hallucinogenic appearance within the deliberately over-processed images. If you’d like to create you own slice of digital nightmare, submit an album to the servers of the Psychic VR Lab.Deep Dream is a computer vision program created by Google engineer Alexander Mordvintsev. I hope you’ve enjoyed this view into the surreal world of artificial dreams. Thanks to everyone who gave us suggestions for albums to submit. Sometimes I believe that this less material life is our truer life, and that our vain presence on the terraqueous globe is itself the secondary or merely virtual phenomenon.” – H. We may guess that in dreams life, matter, and vitality, as the earth knows such things, are not necessarily constant and that time and space do not exist as our waking selves comprehend them. From those blurred and fragmentary memories we may infer much, yet prove little. From my experience I cannot doubt but that man, when lost to terrestrial consciousness, is indeed sojourning in another and uncorporeal life of far different nature from the life we know and of which only the slightest and most indistinct memories linger after waking. Whilst the greater number of our nocturnal visions are perhaps no more than faint and fantastic reflections of our waking experiences-Freud to the contrary with his puerile symbolism-there are still a certain remainder whose immundane and ethereal character permits of no ordinary interpretation, and whose vaguely exciting and disquieting effect suggests possible minute glimpses into a sphere of mental existence no less important than physical life, yet separated from that life by an all but impassable barrier. “I have frequently wondered if the majority of mankind ever pause to reflect upon the occasionally titanic significance of dreams, and of the obscure world to which they belong. ![]() Allow Black Sabbath‘s “Behind the Wall of Sleep” to be your soundtrack to the night terrors. ![]() Together, we’re acting as Charon, ferrying you through the somnambulant inferno of electric sleep. Lacertilian and I thought it would be an interesting exercise to see what sort of nightmares were produced if the Deep Dream neural networks were fed heavy metal album covers. In essence, when the neural nets are allowed to dream over an existing image, the algorithms modify the image into a new and surreal piece of art. However, the images are typical vague, much like the way our developing minds undergo pareidolia and identify faces and animals in clouds and wallpaper. Horizons often get shifted into pagodas, trees into buildings, and leaves into birds and insects, with myriad other patterns emerging as well. Google uses neural net models to train their image search algorithms, but the tech giant has recently reversed the functions of the neural networks in a process known as inceptionism where they allow their servers to analyze and interpret patterns in existing images. They’re often used for identification or data mining, with applications in such disparate fields as traffic crash data analysis and medical trend testing. So what happens when you feed the neural network a metal album cover as a base image? Find out below.Īrtificial neural networks are statistical learning models that use complex algorithms to assess and interpret various processes. As it turns out, computers do appear to dream of sheep and other animals, albeit warped in a distinctly Lovecraftian fashion. ![]() However, thanks to the Google Deep Dream artificial neural networks, we may be getting a bit closer. Despite our advances in transhumanism, we still have no answer for that question. Dick once pondered if androids dream of electric sheep.
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