Hands-on machine learning with Scikit-Learn and TensorFlow : Concepts, tools, and techniques to build intelligent systems
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9789352135219
- 006.31 GER
Contents:
Part I. The fundamentals of machine learning The machine learning landscape End-to-end machine learning project Classification Training models Part II. Neural networks and deep learning Up and running with Tensor Flow Introduction to artificial neural networks Training deep neural nets Distributing Tensor Flow across devices and servers Recurrent neural networks Autoencoders Reinforcement learning
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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CUTN Central Library Generalia | Non-fiction | 006.31 GER (Browse shelf(Opens below)) | Available | 37599 |
Browsing CUTN Central Library shelves, Shelving location: Generalia, Collection: Non-fiction Close shelf browser (Hides shelf browser)
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006.31 ALP Introduction to machine learning / | 006.31 FEN Machine Learning with Python for Everyone / | 006.31 FLA Machine learning : | 006.31 GER Hands-on machine learning with Scikit-Learn and TensorFlow : | 006.31 GOL Genetic algorithms in search, optimization, and machine learning | 006.31 GOL Genetic algorithms in search, optimization, and machine learning | 006.31 GOO Deep learning / |
Part I. The fundamentals of machine learning The machine learning landscape End-to-end machine learning project Classification Training models Part II. Neural networks and deep learning Up and running with Tensor Flow Introduction to artificial neural networks Training deep neural nets Distributing Tensor Flow across devices and servers Recurrent neural networks Autoencoders Reinforcement learning
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