DeepDream
Google created DeepDream, a computer vision program that modifies and enhances images in a distinctive and surrealistic way using deep neural networks. While DeepDream was first developed to depict the patterns and characteristics that convolutional neural networks (CNNs) learned during image recognition training, it has become well-known for its capacity to produce aesthetically appealing and abstract images.
Key Features of DeepDream
- Layer Stacking: With DeepDream, users can designate which neural network layers to focus on as they dream.
- Creative and Surrealistic Results: The psychedelic and abstract properties of DeepDream pictures are well-known.
- Feature Visualisation: As CNNs are trained to recognize images, certain layers of the network pick up on the ability to recognise particular patterns and features in the images.
Application of DeepDream
- Artistic Exploration
- Pattern Recognition
- Neuroscience Inspiration
Top Generative AI Models to Explore in 2024
Generative AI models have become potent instruments in the rapidly changing field of artificial intelligence, capable of producing original texts, visuals, and even whole stories. By 2024, generative AI will have advanced to never-before-seen levels thanks to a variety of models that are pushing the envelope in terms of originality and inventiveness.
These Generative AI Models demonstrate the breadth and depth of applications for Generative AI, ranging from language production to image synthesis. While some models are quite good at producing text that seems human, others produce realistic and beautiful visuals. Every model offers a different set of advantages and a window into the seemingly endless possibilities of AI-driven creation.
In this article, we’ll be looking into 9 distinct AI generative, segmented into Text, Image, and Code generative AIs. Before getting into the Top generative AI models, let’s first understand in brief what is generative AI.