It takes the average reader 1 hour and 19 minutes to read Generative Adversarial Networks for Image Generation by Xudong Mao
Assuming a reading speed of 250 words per minute. Learn more
Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook’s AI research director) as “the most interesting idea in the last 10 years in ML.” GANs’ potential is huge, because they can learn to mimic any distribution of data, which means they can be taught to create worlds similar to our own in any domain: images, music, speech, prose. They are robot artists in a sense, and their output is remarkable – poignant even. In 2018, Christie’s sold a portrait that had been generated by a GAN...
Generative Adversarial Networks for Image Generation by Xudong Mao is 77 pages long, and a total of 19,789 words.
This makes it 26% the length of the average book. It also has 24% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 48 minutes to read Generative Adversarial Networks for Image Generation aloud.
Generative Adversarial Networks for Image Generation is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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