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Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Getting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we'll show you how to apply your existing understanding of the Python language to this new and exciting field that's full of new opportunities (and high expectations)!.
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Packt Publishing
2018
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2648178 |
| _version_ | 1780960648850571264 |
|---|---|
| author | Galea, Alex Capelo, Luis |
| author_facet | Galea, Alex Capelo, Luis |
| author_sort | Galea, Alex |
| collection | CERN |
| description | Getting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we'll show you how to apply your existing understanding of the Python language to this new and exciting field that's full of new opportunities (and high expectations)!. |
| id | cern-2648178 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2018 |
| publisher | Packt Publishing |
| record_format | invenio |
| spelling | cern-26481782021-04-21T18:39:46Zhttp://cds.cern.ch/record/2648178engGalea, AlexCapelo, LuisApplied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutionsComputing and ComputersGetting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we'll show you how to apply your existing understanding of the Python language to this new and exciting field that's full of new opportunities (and high expectations)!.Packt Publishingoai:cds.cern.ch:26481782018 |
| spellingShingle | Computing and Computers Galea, Alex Capelo, Luis Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title | Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title_full | Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title_fullStr | Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title_full_unstemmed | Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title_short | Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title_sort | applied deep learning with python: use scikit-learn, tensorflow, and keras to create intelligent systems and machine learning solutions |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/2648178 |
| work_keys_str_mv | AT galeaalex applieddeeplearningwithpythonusescikitlearntensorflowandkerastocreateintelligentsystemsandmachinelearningsolutions AT capeloluis applieddeeplearningwithpythonusescikitlearntensorflowandkerastocreateintelligentsystemsandmachinelearningsolutions |