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  • GANs in Action

    Deep learning with Generative Adversarial Networks

    Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the ... Leer más

    $49.99 USD

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  • Feature Engineering for Machine Learning

    Principles and Techniques for Data Scientists

    Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ... Leer más

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  • Hands-On Computer Vision with TensorFlow 2

    Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

    A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applications such as object detection and video analysisLearn how to run your models on mobile devices and ... Leer más

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  • Generative AI with Python and TensorFlow 2

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

    This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow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

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  • Learning Deep Learning

    Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

    de Magnus Ekman ...
    NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results"To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals."-- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA"Ekman uses a ... Leer más

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  • Deep Learning Illustrated

    A Visual, Interactive Guide to Artificial Intelligence

    Series series Addison-Wesley Data & Analytics Series
    "The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come."– Tim Urban, author of Wait But WhyFully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented ... Leer más

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  • Deep Learning with TensorFlow and Keras

    Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition

    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 FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and ... Leer más

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  • Generative Adversarial Networks with Industrial Use Cases

    Learning How to Build GAN Applications for Retail, Healthcare, Telecom, Media, Education, and HRTech

    This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from ... Leer más

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  • Artificial Intelligence By Example

    Acquire advanced AI, machine learning, and deep learning design skills

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    Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examplesKey FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook DescriptionAI has the potential ... Leer más

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  • Getting started with Deep Learning for Natural Language Processing

    Learn how to build NLP applications with Deep Learning (English Edition)

    de Sunil Patel ...
    Natural language processing (NLP) is one of the areas where many Machine Learning and Deep Learning techniques are applied.This book covers wide areas, including the fundamentals of Machine Learning, Understanding and optimizing Hyperparameters, Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN). This book not only covers the classical concept of text processing but also shares ... Leer más

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  • Generative Adversarial Networks Projects

    Build next-generation generative models using TensorFlow and Keras

    Explore various Generative Adversarial Network architectures using the Python ecosystemKey FeaturesUse different datasets to build advanced projects in the Generative Adversarial Network domainImplement projects ranging from generating 3D shapes to a face aging applicationExplore the power of GANs to contribute in open source research and projectsBook DescriptionGenerative Adversarial Networks ... Leer más

    $34.99 USD o gratis con Kobo Plus

  • Hands-On Generative Adversarial Networks with Keras

    Your guide to implementing next-generation generative adversarial networks

    de Rafael Valle ...
    Develop generative models for a variety of real-world use cases and deploy them to productionKey FeaturesDiscover various GAN architectures using a Python and Keras libraryUnderstand how GAN models function with the help of theoretical and practical examplesApply your learnings to become an active contributor to open source GAN applicationsBook DescriptionGenerative Adversarial Networks (GANs) ... Leer más

    $27.99 USD o gratis con Kobo Plus