Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
Equations poorly formated and incomplete
.Learn
to unleash the power of AI creativity KEY FEATURES ● Understand the core
concepts related to generative AI. ● Different types of generative
models and their applications. ● Learn how to design generative AI
neural networks using Python and TensorFlow. DESCRIPTION This book
researches the intricate world of generative Artificial Intelligence,
offering readers an extensive understanding of various components and
applications in this field. The book begins with an in-depth analysis of
generative models, providing a solid foundation and exploring their
combination nuances. It then focuses on enhancing TransVAE, a
variational autoencoder, and introduces the Swin Transformer in
generative AI. The inclusion of cutting edge applications like building
an image search using Pinecone and a vector database further enriches
its content. The narrative shifts to practical applications, showcasing
GenAI's impact in healthcare, retail, and finance, with real-world
examples and innovative solutions. In the healthcare sector, it
emphasizes AI's transformative role in diagnostics and patient care. In
retail and finance, it illustrates how AI revolutionizes customer
engagement and decision making. The book concludes by synthesizing key
learnings, offering insights into the future of generative AI, and
making it a comprehensive guide for diverse industries. Readers will
find themselves equipped with a profound understanding of generative AI,
its current applications, and its boundless potential for future
innovations. WHAT YOU WILL LEARN ● Acquire practical skills in designing
and implementing various generative AI models. ● Gain expertise in
vector databases and image embeddings, crucial for image search and data
retrieval. ● Navigate challenges in healthcare, retail, and finance
using sector specific insights. ● Generate images and text with VAEs,
GANs, LLMs, and vector databases. ● Focus on both traditional and
cutting edge techniques in
Thể loại:Computers - Artificial Intelligence (AI)
Content Type:Sách
Năm:2024
Ngôn ngữ:english
Trang: 787
Không có đánh giá!
Thêm đánh giá