Live briefing
Everything about DeepDream
Software program
DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: DeepDreamA 5-minute orientation
- Pick up a classic book: Replaceability ParadigmThe most-reprinted book on the subject
- Read the landmark paper: Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning modelCited 45 times
- Go sideways: Convolutional neural networkA closely related topic
- Go sideways: Convolutional layerA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model
Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology
Exploring DeepDream and XAI Representations for Classifying Histological Images
Hitchcock’s Vertigo and DeepDream: Perception Across Cinema and Artificial Intelligence
A Study on the Generation of Aesthetic Imagery of Socialist Core Values among College Students Based on DeepDream Algorithm
Transformations in Shifting Models: Reorienting with DeepDream
đź“š Books worth reading
- 📕Replaceability ParadigmNiall Martin, Ilios Franciscus David Martin Willemars · 2024
- 📕Using DeepDream to Visualize Convolutional Neural NetworksAnton Peraire-Bueno · 2018
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Convolutional neural network A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep…
- Convolutional layer In artificial neural networks, a convolutional layer is a type of network layer that applies a convolution operation to the input. Convolutional layers…
- Class activation mapping Class activation mapping methods are explainable AI (XAI) techniques used to visualize the regions of an input image that are the most relevant for a particular…
- Inception (deep learning architecture) Inception is a family of convolutional neural network (CNN) for computer vision, introduced by researchers at Google in 2014 as GoogLeNet (later renamed…
- Self-supervised learning Self-supervised learning (SSL) is a paradigm in machine learning where a model is trained on a task using the data itself to generate supervisory signals…
- Trevor Darrell Trevor Jackson Darrell is an American computer scientist and professor in the Computer Science Division of the University of California, Berkeley. His…
- Siamese neural network A Siamese neural network (sometimes called a twin neural network) is an artificial neural network that uses the same weights while working in tandem on…
- VGGNet The VGGNets are a series of convolutional neural networks (CNNs) developed by the Visual Geometry Group (VGG) at the University of Oxford. The VGG family…