Programming generative AI

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 you...

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Detalles Bibliográficos
Autor Corporativo: Pearson (Firm), publisher (publisher)
Otros Autores: Dinu, Jonathan, instructor (instructor)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : Pearson [2024]
Edición:[First edition]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009853625806719
Descripción
Sumario: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).
Descripción Física:1 online resource (1 video file (18 hr., 17 min.)) : sound, color
ISBN:9780135381090