GANs
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What is GANs?
Generative Adversarial Networks (GANs) are a class of machine learning frameworks where two neural networks contest with each other in a zero-sum game. One network, the generator, creates new data instances, while the other, the discriminator, evaluates them for authenticity. GANs are commonly used for image generation, image-to-image translation, and data augmentation.
What other technologies are related to GANs?
GANs Competitor Technologies
VAEs
Variational Autoencoders are generative models that, like GANs, can be used to generate new data instances. They offer a different approach to generative modeling.
diffusion models
Diffusion models are a class of generative models that have become competitive with GANs for image generation, often producing high-quality results.
autoregressive models
Autoregressive models offer an alternative approach to generative modeling, directly modeling the probability distribution of the data.
GPT
GPT is a transformer-based language model that can generate text, providing an alternative generative approach to GANs for text-related tasks.
NeRFs
NeRFs (Neural Radiance Fields) offer an alternative to GANs for generating novel views of complex 3D scenes.
NF
Normalizing Flows are generative models that offer a different approach to generative modeling than GANs.
Stable Diffusion
Stable Diffusion is a diffusion model used for generating images, similar to GANs, making it a competitor.
LLMs
LLMs are a type of model used to generate text, code, and more, and have become competitors with GANs for certain generative tasks.
Number of organizations that mention technology
1,435
GANs
658
VAEs
713
diffusion models
74
autoregressive models
4,013
GPT
78
NeRFs
116
NF
1,167
Stable Diffusion
14,159
LLMs
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GANs Complementary Technologies
CNNs
Convolutional Neural Networks are often used as discriminators in GANs for image generation tasks.
RNNs
Recurrent Neural Networks can be used in GANs for sequence generation tasks.
Transformers
Transformers can be used in GANs, especially for sequence-related tasks. They can also be used to build generative models as an alternative to GANs.
Number of organizations that mention technology
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Which job functions commonly mention GANs?
Applied Scientist
1.5% of all Applied Scientist jobs mention GANs
View 167
jobs on Sumble
AI Engineer
0.9% of all AI Engineer jobs mention GANs
View 783
jobs on Sumble
Machine Learning
0.5% of all Machine Learning jobs mention GANs
View 525
jobs on Sumble
Data Scientist
0.4% of all Data Scientist jobs mention GANs
View 879
jobs on Sumble
Data, Analytics & Machine Learning
0.1% of all Data, Analytics & Machine Learning jobs mention GANs
View 2.2k
jobs on Sumble
Which organizations are mentioning GANs?
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