000 | 01237 a2200181 4500 | ||
---|---|---|---|
005 | 20250823150029.0 | ||
020 | _a9781800200883 | ||
082 | _a006.3 BAB | ||
100 | _aBabcock, Joseph | ||
245 | _aGenerative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models | ||
260 |
_bPackt Publishing _c2021 _aMumbai |
||
300 | _a469 | ||
520 | _aMachines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI? In this book, you’ll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You’ll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks. There’s been an explosion in potential use cases for generative models. You’ll look at Open AI’s news generator, deepfakes, and training deep learning agents to navigate a simulated environment. Recreate the code that’s under the hood and uncover surprising links between text, image, and music generation. | ||
650 | _aGenerative AI | ||
650 | _aPython | ||
700 | _aBall, Raghav | ||
942 |
_cBK _2ddc |
||
999 |
_c51172 _d51172 |