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“md adilur rahim”

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  • Deep Learning for Engineers

    de Tariq M. Arif, Md Adilur Rahim ...
    Deep Learning for Engineers introduces the fundamental principles of deep learning along with an explanation of the basic elements required for understanding and applying deep learning models.As a comprehensive guideline for applying deep learning models in practical settings, this book features an easy-to-understand coding structure using Python and PyTorch with an in-depth explanation of four ... Leer más

    $73.99 USD

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  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    de Aurélien Géron ...
    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Leer más

    $55.99 USD

  • 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

  • Artificial Intelligence with Python

    A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

    de Prateek Joshi ...
    Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to ... Leer más

    $41.99 USD o gratis con Kobo Plus

  • 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

  • Deep Learning with TensorFlow and Keras

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

    de Amita Kapoor, Antonio Gulli, Sujit Pal, Francois Chollet ...
    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

    $35.99 USD o gratis con Kobo Plus

  • Python: Advanced Guide to Artificial Intelligence

    Expert machine learning systems and intelligent agents using Python

    de Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani ...
    Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementationBuild deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production ... Leer más

    $35.99 USD o gratis con Kobo Plus

  • Python: Real World Machine Learning

    de Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti ...
    Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to ... Leer más

    $64.99 USD o gratis con Kobo Plus

  • Deep Learning with TensorFlow 2 and Keras

    Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API

    de Antonio Gulli, Amita Kapoor, Sujit Pal ...
    Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Deep Learning with Keras

    Implementing deep learning models and neural networks with the power of Python

    de Antonio Gulli, Sujit Pal ...
    Get to grips with the basics of Keras to implement fast and efficient deep-learning modelsKey FeaturesImplement various deep learning algorithms in Keras and see how deep learning can be used in gamesSee how various deep learning models and practical use-cases can be implemented using KerasA practical, hands-on guide with real-world examples to give you a strong foundation in KerasBook ... Leer más

    $41.99 USD o gratis con Kobo Plus

  • Hands-On Computer Vision with TensorFlow 2

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

    de Eliot Andres, Benjamin Planche ...
    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

    $27.99 USD o gratis con Kobo Plus

  • Learn AI with Python

    Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras (English Edition)

    de Gaurav Leekha ...
    The book ‘Learn AI with Python’ is intended to provide you with a thorough understanding of artificial intelligence as well as the tools necessary to create your intelligent applications.This book introduces you to artificial intelligence and walks you through the process of establishing an AI environment on a variety of platforms. It dives into machine learning models and various predictive ... Leer más

    $14.99 USD o gratis con Kobo Plus