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Unsupervised — Machine Hallucinations — MoMA
⏲ 3 min 60 sec ✓ 12-Dec-2021
Build a Generative Adversarial Neural Network with Tensorflow and Python | Deep Learning Projects
⏲ 2 hours 1 minute 24 seconds 👁 73.6K
Generate tabular data using GAN, Draw each variable distribution
⏲ 34 seconds 👁 434
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⏲ 1 min 20 sec ✓ 08-Feb-2021
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
⏲ 3 minutes 3 seconds 👁 1.2K
Differentiable Augmentation for Data-Efficient GAN Training(AI Paper Summary)
⏲ 5 minutes 27 seconds 👁 550
Machine Hallucinations : Nature Dreams - Last Memory
⏲ 7 min 20 sec ✓ 29-May-2020
GAN for Generating User-Specific Human Activity Data from an Incomplete Training Corpus
⏲ 3 minutes 2 seconds 👁 12
Moon data Super resolution using GAN deep learning
⏲ 9 minutes 4 seconds 👁 10
AI_VAN_GOGH_DATA PAINTING_IMMERSIVE_EXPERIENCE
⏲ 2 min 34 sec ✓ 13-Oct-2021
Building a GAN From Scratch With PyTorch | Theory + Implementation
⏲ 31 minutes 59 seconds 👁 31.4K
Generative Adversarial Network (GAN) | GAN | Data Science | AI
⏲ 4 minutes 35 seconds 👁 17
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_unsupervised-machine-hallucinations-moma.webp "What would a machine mind dream of after “seeing” the vast collection of The Museum of Modern Art? In other words, if the corpus of images of the MoMA collection had been accomplished by a single artist, what would their dreams look like? Emerging from Machine Hallucinations, Refik Anadol Studio’s multi-year research project that investigates data aesthetics based on collective visual memories of humanity, “Unsupervised — Machine Hallucinations — MoMA” processes 138,151 images from")
_build-a-generative-adversarial-neural-network-with-tensorflow-and-python-124-deep-learning-projects.webp "Nicholas Renotte")
_generate-tabular-data-using-gan-draw-each-variable-distribution.webp "이성령")
_92.webp "\ from data gan")
_neurips-2020-differentiable-augmentation-for-data-efficient-gan-training.webp "MIT HAN Lab")
_differentiable-augmentation-for-data-efficient-gan-training-ai-paper-summary.webp "Marktechpost AI")
_machine-hallucinations-nature-dreams-last-memory.webp "Machine Hallucinations: Last MemorynnHow would you engage with an image if you knew that it was the last memory of a place that has filled your heart with peace for many years? Refik Anadol’s Machine Hallucinations: Last Memory is a data sculpture that explores this feeling by making a machine mind “hallucinate” vestiges of nonexistent natural wonders. After the machine learns 46,474,696 million images of Nature, Anadol uses GAN algorithms developed by artificial intelligence to shape this")
_gan-for-generating-user-specific-human-activity-data-from-an-incomplete-training-corpus.webp "Harrison Kim")
_moon-data-super-resolution-using-gan-deep-learning.webp "data mask")
_ai-van-gogh-data-painting-immersive-experience.webp "Have you ever experienced 12 BILLION VAN GOGH’s brush strokes by AI as an immersive experience?nnOuchhh created a new Data Painting experience that is all of Van Gogh's works created during his lifetime were collected and processed with Artificial Intelligence and GAN algorithms.nnnAll of Van Gogh's works created during his lifetime were collected and processed with Artificial Intelligence and GAN algorithms. By combining the data painting technique and the color palette, Van Gogh's unique wor")
_building-a-gan-from-scratch-with-pytorch-124-theory-implementation.webp "AssemblyAI")
_generative-adversarial-network-gan-124-gan-124-data-science-124-ai.webp "data science Consultancy")
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