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JSON Generator – Tool for generating random data

feedproxy.google.com/~r/leandono/.../Gmm3gY7HkSc/

Generate any random data you want with power of agile templates and save it to our servers for later use.

New AI fake text generator may be too dangerous to release, say ...

feedproxy.google.com/.../elon-musk-backed-ai-writes-convincing-news- fiction

Feb 14, 2019 ... New AI fake text generator may be too dangerous to release, say .... The amount of data GPT2 was trained on directly affected its quality, giving ...

FakeIt Series 1 of 5: Generating Fake Data | The Couchbase Blog

https://feedproxy.google.com/~r/.../~3/hQI87cp9Jpg/

Mar 14, 2017 ... This article focuses on how we can represent a user's JSON model using YAML to document and describe how a properties value should be ...

Fake Data - A form filler you won't hate

https://chrome.google.com/.../fake-data.../ gchcfdihakkhjgfmokemfeembfokkajj

Jun 1, 2019 ... After installation you will have to reload the tabs that are already open for the extension to work properly inside them. ‼️ ✔️ Fake Data will help ...

The Discriminator | Generative Adversarial Networks | Google ...

https://developers.google.com/machine.../discriminator?...

It could use any network architecture appropriate to the type of data it's classifying . ... The discriminator classifies both real data and fake data from the generator.

Overview of GAN Structure | Generative Adversarial Networks ...

https://developers.google.com/machine.../gan_structure?...

The discriminator learns to distinguish the generator's fake data from real data. The discriminator penalizes the generator for producing implausible results.

Updating the generator in PPGN-h with gradients flowing through ...

feedproxy.google.com/~r/arxiv/QSXk/.../1804.00630

Apr 2, 2018 ... Its architecture is comprised of a generator, which produces fake data that superficially seem to belong to the real data distribution, and a ...

fake-data-generator

https://code.google.com/archive/p/fake-data-generator

Dec 9, 2011 ... Python tool to create test data sets for various data mining algorithms. Testing data mining is hard. If all you have are real-world data sets, then ...

Loss Functions | Generative Adversarial Networks | Google ...

https://developers.google.com/machine-learning/.../loss

A GAN can have two loss functions: one for generator training and one for ... term in the distance measure: the term that reflects the distribution of the fake data.

AI May Soon Defeat Biometric Security, Even Facial Recognition ...

feedproxy.google.com/~r/.../~3/klnCTp2Tu_k/

Jan 31, 2019 ... The generator gets better at simulating data, and the discriminator gets ... of fake data produced by the generator that can pass as the real thing.

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