LIBROS DEL AUTOR: antonio gulli

5 resultados para LIBROS DEL AUTOR: antonio gulli

  • Agentic Design Patterns
    Antonio Gullí
    This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effe...
    Disponible

    73,47 €

  • Deep Learning with TensorFlow and Keras - Third Edition
    Amita Kapoor / Antonio Gulli / Sujit Pal
    Build cutting edge machine and deep learning systems for the lab, production, and mobile devices.Purchase of the print or Kindle book includes a free eBook in PDF format.Key Features:Understand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlo...
    Disponible

    73,10 €

  • TensorFlow 1.x Deep Learning Cookbook
    Amita Kapoor / Antonio Gulli
    Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.xKey Features:Skill up and implement tricky neural networks using Google’s TensorFlow 1.xAn easy-to-follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer perceptrons and more.Hands-on recipes to work with Tensorflow on desktop, mobile, and cl...
    Disponible

    67,39 €

  • Deep Learning with Keras
    Antonio Gulli / Sujit Pal
    Publisher’s Note: This edition from 2017 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 and featuring TensorFlow 2, the Keras API, CNNs, GANs, RNNs, NLP, and AutoML, has now been published.Key Features:Implement various deep learning algorithms in Keras and see how deep learning c...
    Disponible

    71,51 €

  • Clustering and Ranking for Web Information Retrieval
    Antonio Gullì
    This book investigates several research problems which arise in modern Web Information Retrieval. First of all we consider the fact that there are many situations where a flat list of ten search results are not enough, and that the users might desire to have a larger number of results grouped on-the-fly in folders of similar topics. In this book, we describe Snaket, a hierarchi...
    Disponible

    72,83 €