• T. TRITVA JYOTHI KIRAN
• Dr. Dhanraj Varma

Deep Inceptionism learning is a computer vision algorithm also called Deep Dream algorithm which is the freakiest A.I. algorithm to date. When you feed in an image to a trained ANN, the neurons fire and generate activations. The deep dream algorithm work by trying to change the input image in a way that would make some of these neuron’s fire more (boost the neurons firing or activations). You can select which neurons in which layer you are interested in making them fire more prominently. The process is continuously repeated until the input image now contains all features that a specific layer was originally looking for and these kinds of trippy effects it gives you a kind of a sense of how close a eye is to the actual biological neurons that our human level intelligence. We can see weird features in the actual image. I have tested the Deep Inceptionism learning vision performance on GPU of Intel® Core™ i3-7100U CPU and I got more lot smoothen image with a kind of trippy effect and the algorithm works by creating dream Like Effects.

: Deep Dream algorithm, Inceptionism, CNN (Convolution Neural Networks), AI (Artificial Intelligence), Activations, Features, Loss.

"Deep Inceptionism learning performance analysis using TensorFlow with GPU – Deep Dream Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.a322-a328, May-2021, Available :http://www.jetir.org/papers/JETIR2105038.pdf

"Deep Inceptionism learning performance analysis using TensorFlow with GPU – Deep Dream Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppa322-a328, May-2021, Available at : http://www.jetir.org/papers/JETIR2105038.pdf