Entra in un mondo di storie
Non-fiction
Whether you are a beginner or are looking to progress in your computer vision career, this book guides you through the fundamentals of neural networks (NNs) and PyTorch and how to implement state-of-the-art architectures for real-world tasks.
The second edition of Modern Computer Vision with PyTorch is fully updated to explain and provide practical examples of the latest multimodal models, CLIP, and Stable Diffusion.
You’ll discover best practices for working with images, tweaking hyperparameters, and moving models into production. As you progress, you'll implement various use cases for facial keypoint recognition, multi-object detection, segmentation, and human pose detection. This book provides a solid foundation in image generation as you explore different GAN architectures. You’ll leverage transformer-based architectures like ViT, TrOCR, BLIP2, and LayoutLM to perform various real-world tasks and build a diffusion model from scratch. Additionally, you’ll utilize foundation models' capabilities to perform zero-shot object detection and image segmentation. Finally, you’ll learn best practices for deploying a model to production.
By the end of this deep learning book, you'll confidently leverage modern NN architectures to solve real-world computer vision problems.
© 2024 Packt Publishing (Ebook): 9781803240930
Data di uscita
Ebook: 10 giugno 2024
Tag
Più di 400.000 titoli
Kids Mode (accesso sicuro per bambini)
Scarica e ascolta offline
Disdici quando vuoi
Le tue prime storie, al prezzo più basso.
1 account
10 ore/mese
Disdici quando vuoi
Ascolto illimitato. Dove vuoi, quando vuoi.
1 account
Ascolto illimitato
Disdici quando vuoi
12 mesi al prezzo di 9. Ascolto illimitato a un prezzo imbattibile.
1 account
Ascolto illimitato
Disdici quando vuoi
Risparmia con più account. Ognuno con le proprie storie.
2 account
Ascolto illimitato
Disdici quando vuoi
Italiano
Italia
