This audiobook is narrated by a digital voice.
This book is designed for developers and AI enthusiasts who want to explore the potential of Rust in creating sophisticated generative models. It begins with foundational concepts, guiding readers through the implementation of key models like Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), all within the Rust ecosystem.
As you advance through the book, you'll uncover more complex topics such as transformer models and diffusion models, alongside practical techniques for optimizing AI performance using Rust's robust capabilities. Special attention is given to ethical considerations in AI, ensuring that you're equipped to handle issues like bias and misinformation responsibly.
This audiobook is narrated by a digital voice.
This book is designed for developers and AI enthusiasts who want to explore the potential of Rust in creating sophisticated generative models. It begins with foundational concepts, guiding readers through the implementation of key models like Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), all within the Rust ecosystem.
As you advance through the book, you'll uncover more complex topics such as transformer models and diffusion models, alongside practical techniques for optimizing AI performance using Rust's robust capabilities. Special attention is given to ethical considerations in AI, ensuring that you're equipped to handle issues like bias and misinformation responsibly.
Rust for Generative AI: Practical Approaches and Applications
Rust for Generative AI: Practical Approaches and Applications
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Product Details
| BN ID: | 2940191122304 |
|---|---|
| Publisher: | Anand Vemula |
| Publication date: | 08/24/2024 |
| Edition description: | Unabridged |
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