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کتابکو موتور جستجوی کتاب های الکترونیکی در سطح اینترنت می باشد که همانند سایر موتورهای جستجو - مثلا گوگل - می تواند کتاب ها و اطلاعات مربوط به آن ها را استخراج و ایندکس نماید. در میان جستجو و ایندکس کردن کتاب ها، ممکن است کتابکو محتوای شامل کپی رایت را نیز ایندکس نماید. این فرآیند کاملا اجتناب ناپذیر است. چرا که ربات کتابکو محتوای شامل کپی رایت را از غیر آن تشخیص نمی دهد. دقیقا مانند موتور جستجوی عکس گوگل و یا گوگل اسکلار که ممکن است شامل محتوای دارای کپی رایت نیز باشد. ما کتاب ها را اسکن و آپلود نمی کنیم. استفاده از منابع این سایت تماما با مسئولیت و اطلاع استفاده کننده خواهد بود. اگر شما محتوای خود را در کتاب یافتید و خواستار حذف آن بودید، با ارسال یک ایمیل به دپارتمان حذف آثار از طریق "این ایمیل"، درخواست خود را ارسال نمایید. کتاب شما در کمتر از یک روز کاری حذف خواهد شد.

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برای Deep Prokashon، صفحه ۳ از ۷۵ در بین ۱,۸۶۶ کتاب.
    EPUB
    Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras

    Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras

    Yuxi (Hayden) Liu, Saransh Mehta, 2019
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    Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras. Code

    Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras. Code

    Yuxi (Hayden) Liu, Saransh Mehta, 2019
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    The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition

    The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition

    Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat, 2020
    EPUB
    The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition

    The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition

    Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat, 2020
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    R Deep Learning Essentials A Step-By-step Guide to Building Deep Learning Models Using TensorFlow, Keras, and MXNet, 2nd Edition.

    R Deep Learning Essentials A Step-By-step Guide to Building Deep Learning Models Using TensorFlow, Keras, and MXNet, 2nd Edition.

    Mark Hodnett; Joshua F. Wiley
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    Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks

    Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks

    Jay Dawani, 2020
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    The Deep-Sky Observer’s Year: A Guide to Observing Deep-Sky Objects Throughout the Year (The Patrick Moore Practical Astronomy Series)

    The Deep-Sky Observer’s Year: A Guide to Observing Deep-Sky Objects Throughout the Year (The Patrick Moore Practical Astronomy Series)

    Paul Parsons, 2000
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    The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch

    The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch

    Hyatt Saleh, 2020
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    The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch

    The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch

    Hyatt Saleh, 2020
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    The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch. Code

    The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch. Code

    Hyatt Saleh, 2020
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    The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras: Take a ... that can recognize images and interpret text

    The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras: Take a ... that can recognize images and interpret text

    Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So, 2020
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    Deep Learning With Python : A Crash Course to Deep Learning with illustrations in Python Programming Language

    Deep Learning With Python : A Crash Course to Deep Learning with illustrations in Python Programming Language

    Kissinger , Robert; Kissinger , Robert, 2020
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    Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks

    Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks

    Jay Dawani, 2020
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    The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

    The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

    Irfan Awan, 2021
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    Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep Learning (English Edition)

    Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep Learning (English Edition)

    Sunil Patel, 2021
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    Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows

    Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows

    Thimira Amaratunga, 2020
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    Modern Deep Learning Design and Application Development: Versatile Tools to Solve Deep Learning Problems

    Modern Deep Learning Design and Application Development: Versatile Tools to Solve Deep Learning Problems

    Andre Ye, 2021
    EPUB
    Modern Deep Learning Design and Application Development: Versatile Tools to Solve Deep Learning Problems

    Modern Deep Learning Design and Application Development: Versatile Tools to Solve Deep Learning Problems

    Andre Ye, 2021
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    Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial ... 2020 (Lecture Notes in Networks and Systems)

    Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial ... 2020 (Lecture Notes in Networks and Systems)

    Luigi Troiano (editor), Alfredo Vaccaro (editor), Roberto Tagliaferri (editor), Nishtha Kesswani (editor), Irene Díaz Rodriguez (editor), Imene Brigui (editor), Domenico Parente (editor), 2022
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    Deep Learning for Natural Language Processing: Develop Deep Learning Models for your Natural Language Problems

    Deep Learning for Natural Language Processing: Develop Deep Learning Models for your Natural Language Problems

    Jason Brownlee, 2017
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    Deep Learning with Python (Theano, TensorFlow, Keras): Develop Deep Learning Models on Theano and TensorFlow Using Keras

    Deep Learning with Python (Theano, TensorFlow, Keras): Develop Deep Learning Models on Theano and TensorFlow Using Keras

    Jason Brownlee, 2016
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    Deep Learning for Beginners: A Beginner's Guide to Getting Up and Running with Deep Learning from Scratch Using Python

    Deep Learning for Beginners: A Beginner's Guide to Getting Up and Running with Deep Learning from Scratch Using Python

    Dr. Pablo Rivas, 2020
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    Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (English Edition)

    Mohan Kumar Silaparasetty, 2022
    EPUB
    Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications

    Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications

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    Applied Deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using deep neural networks and behavior-cloning techniques

    Applied Deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using deep neural networks and behavior-cloning techniques

    Ranjan, Sumit, Senthamilarasu, Dr. S., 2020
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