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Programming generative AI.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Video
Contributor:
Dinu, Jonathan, instructor.
Pearson (Firm), publisher.
Language:
English
Subjects (All):
Artificial intelligence--Computer programs.
Artificial intelligence.
Computer programming.
Physical Description:
1 online resource (1 video file (18 hr., 17 min.)) : sound, color.
Edition:
[First edition].
Place of Publication:
[Place of publication not identified] : Pearson, [2024]
Summary:
Programming Generative AI is a hands-on tour of deep generative modeling, taking you from building simple feedforward neural networks in PyTorch all the way to working with large multimodal models capable of simultaneously understanding text and images. Along the way, you will learn how to train your own generative models from scratch to create an infinity of images, generate text with large language models similar to the ones that power applications like ChatGPT, write your own text-to-image pipeline to understand how prompt- based generative models actually work, and personalize large pretrained models like stable diffusion to generate images of novel subjects in unique visual styles (among other things).
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
9780135381090
0135381096
OCLC:
1463911127

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