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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 Learning Express، صفحه ۴۷ از ۵۱۲ در بین ۱۲,۷۸۲ کتاب.
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    Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

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    Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

    Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

    MD Rezaul Karim, 2018
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    Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI

    Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI

    Darren Cook, 2016
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    Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

    Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

    Ankur A. Patel, 2019
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    Learning from Google Deep Learning

    Learning from Google Deep Learning

    Nikkei Big Data, 2017
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    Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

    Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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    Learn PySpark. Build Python-based Machine Learning and Deep Learning Models

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    Hands-on Q-Learning with Python. Practical Q-Learning with OpenAI Gym, Keras and TensorFlow

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    Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

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    Nazia Habib, 2019
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    Michael Allen’s Guide to e-Learning: Building Interactive, Fun, and Effective Learning Programs for Any Company

    Michael Allen’s Guide to e-Learning: Building Interactive, Fun, and Effective Learning Programs for Any Company

    Michael W. Allen, Tony Bingham, 2016
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    Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems

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    Amita Kapoor, 2019
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    Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

    Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

    Ian Pointer, 2019
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    Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano

    Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano

    LazyProgrammer, 2016
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    Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano

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    LazyProgrammer, 2016
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    What’s New in TensorFlow 2.0: Use the new and improved features of TensorFlow to enhance machine learning and deep learning

    What’s New in TensorFlow 2.0: Use the new and improved features of TensorFlow to enhance machine learning and deep learning

    Ajay Baranwal; Alizishaan Khatri; Tanish Baranwal, 2019
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    Java Deep Learning Projects - Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs.

    Java Deep Learning Projects - Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs.

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    Java Deep Learning Cookbook - Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j.

    Java Deep Learning Cookbook - Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j.

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    Learning and teaching early math : the learning trajectories approach

    Learning and teaching early math : the learning trajectories approach

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    Learn TensorFlow 2.0: Implement Machine Learning And Deep Learning Models With Python

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    Deep Learning Pipeline: Building A Deep Learning Model With TensorFlow

    Deep Learning Pipeline: Building A Deep Learning Model With TensorFlow

    Hisham El-Amir, Mahmoud Hamdy, Apress
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