Autor: Denis Rothman

Publisher’s Note: This edition from 2018 is outdated! A new second edition, completely updated for Python 3.x and its latest libraries, and Tensor Flow 2.x, is now available. It features new and more …

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key Features

• AI-based examples to guide you in designing and implementing …

Transformers are…well…transforming the world of AI. There are many platforms and models out there, but which ones best suit your needs? Transformers for Natural Language Processing, 2nd Edition, …

The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Proc …

Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of s …

Transformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, Open AI, and Goo …

RAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs. This book offers a detailed exploration of RAG a …