Skip to main content
Search Button
Estados Unidos Tienda Kobo Tarjetas de regalo Ayuda

Kobo Rakuten

Wishlist

Carrito de compra

¡Obtienes el tratamiento VIP!

Artículos no disponibles para compra.
Por favor revisa tu carrito. Puedes eliminar los artículos no disponibles ahora o los eliminaremos nosotros automáticamente al momento de pagar.
artículosartículo
artículosartículo

Recomendado para ti

Loading...


Serie m´´as popular en Estados Unidos

1 - 12 de 12 resultados para “xiaozhou guo”
Skip side bar filters

  • Generative Adversarial Network

    Principle and Practice

    de Peng Long, Xiaozhou Guo ...
    Series series Computer Science (R0)
    This book comprehensively and systematically introduces the theory of generative adversarial networks and its applications in image and voice processing. This book consists of 12 chapters, of which the first four chapters present basic knowledge, including the principle of GAN, optimization objectives, training methods and evaluation indicators. The last eight chapters introduce the applications ... Leer más

    $76.99 USD

La gente que leyó esto también disfrutó

  • Machine Learning with PyTorch and Scikit-Learn

    Develop machine learning and deep learning models with Python

    de Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ...
    This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice ... Leer más

    $39.99 USD o gratis con Kobo Plus

  • Learning OpenCV

    Computer Vision with the OpenCV Library

    de Gary Bradski, Adrian Kaehler ...
    "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the ... Leer más

    $28.99 USD

  • Generative Deep Learning

    Teaching Machines To Paint, Write, Compose, and Play

    de David Foster ...
    Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.The book ... Leer más

    $48.99 USD

  • Hands-On Machine Learning with Scikit-Learn and PyTorch

    Concepts, Tools, and Techniques to Build Intelligent Systems

    de Aurélien Géron ...
    The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Leer más

    $55.99 USD

  • Generative AI with Python and TensorFlow 2

    Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

    de Joseph Babcock, Raghav Bali ...
    This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook ... Leer más

    $50.99 USD o gratis con Kobo Plus

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    de Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Physically Based Rendering

    From Theory to Implementation

    de Matt Pharr, Greg Humphreys ...
    Physically Based Rendering, Second Edition, describes both the mathematical theory behind a modern photorealistic rendering system as well as its practical implementation. A method known as literate programming combines human-readable documentation and source code into a single reference that is specifically designed to aid comprehension. The result is a stunning achievement in graphics education. ... Leer más

    $92.99 USD

  • Fundamentals of Deep Learning

    Designing Next-Generation Machine Intelligence Algorithms

    de Nithin Buduma, Nikhil Buduma, Joe Papa ...
    We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition ... Leer más

    $48.99 USD

  • Hands-On Deep Learning Algorithms with Python

    Master deep learning algorithms with extensive math by implementing them using TensorFlow

    de Sudharsan Ravichandiran ...
    Understand basic-to-advanced deep learning algorithms, the mathematical principles behind them, and their practical applicationsKey FeaturesGet up to speed with building your own neural networks from scratchGain insights into the mathematical principles behind deep learning algorithmsImplement popular deep learning algorithms such as CNNs, RNNs, and more using TensorFlowBook DescriptionDeep ... Leer más

    $26.99 USD o gratis con Kobo Plus

  • System Simulation Techniques with MATLAB and Simulink

    de Yang Chen, Dingy¿ Xue ...
    System Simulation Techniques with MATLAB and Simulink comprehensively explains how to use MATLAB and Simulink to perform dynamic systems simulation tasks for engineering and non-engineering applications.This book begins with covering the fundamentals of MATLAB programming and applications, and the solutions to different mathematical problems in simulation. The fundamentals of Simulink modelling ... Leer más

    $113.00 USD

  • Deep Learning with PyTorch Quick Start Guide

    Learn to train and deploy neural network models in Python

    de David Julian ...
    Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing.Key FeaturesClear and concise explanationsGives important insights into deep learning modelsPractical demonstration of key conceptsBook DescriptionPyTorch is extremely powerful and ... Leer más

    $25.99 USD o gratis con Kobo Plus