000 | 02177nam a2200385u 4500 | ||
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003 | EG-NbEJU | ||
005 | 20241123204544.0 | ||
008 | 240924s2021 us- r u|00 | eng d | ||
020 | _a9781617296864 | ||
040 |
_aEG-NbEJU _beng _cEG-NbEJU _dEG-NbEJU |
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041 | _aeng | ||
050 | 0 | 0 |
_aQA76.73.P98 _bC46 2021 |
100 | 1 | _aChollet , Francois | |
245 | 1 | 0 |
_aDeep Learning with Python / _cFrancois Chollet |
250 | _aSecond edition | ||
260 |
_aShelter Island : _bManning , _c2021 |
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300 |
_a504 Pages ; _c24 cm |
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504 | _aIncludes bibliographical references and index | ||
520 | _aRecent innovations in deep learning unlock exciting new software capabilities like automated language translation , image recognition , and more Deep learning is quickly becoming essential knowledge for every software developer , and modern tools like Keras and TensorFlow put it within your reach even if you have no background in mathematics or data science This book shows you how to get started Deep Learning with Python , Second Edition introduces the field of deep learning using Python and the powerful Keras library In this revised and expanded new edition , Keras creator François Chollet offers insights for both novice and experi - enced machine learning practitioners As you move through this book , you'll build your understanding through intuitive explanations , crisp illustrations, and clear examples You'll quickly pick up the skills you need to start developing deep - learning applications | ||
650 | 0 | _aPython (Computer program language) | |
650 | 0 | _aMachine learning | |
650 | 0 | _aNeural networks (Computer science) | |
700 | 1 |
_aStout , Jennifer _eDevelopment editor |
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700 | 1 |
_aBuontempo , Frances _eTechnical development editor |
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700 | 1 |
_aDragosavljević , Aleksandar _eReview editor |
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700 | 1 |
_aHales , Keri _eProduction editor |
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700 | 1 |
_aCarroll , Andy _eCopy editor |
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_aTennant , Katie _eProofreader |
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_aDolab , Melody _eProofreader |
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_aStrøbæk , Karsten _eTechnical proofreader |
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_aSchulze , Floyd _eDesigner |
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901 | _aHaGeR | ||
902 | _aNew_01_ (30).pdf | ||
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