Neural network projects with Python :: the ultimate guide to using Python to explore the true power of neural networks through six projects /
Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular lib...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2019.
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (v, 295 pages) : illustrations |
| ISBN: | 9781789133318 1789133319 |
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| 505 | 0 | |a Table of ContentsMachine Learning and Neural Networks 101Predicting Diabetes with Multilayer PerceptronsPredicting Taxi Fares with Deep Feedforward NetworksCats Versus Dogs -- Image Classification Using CNNsRemoving Noise from Images Using AutoencodersSentiment Analysis of Movie Reviews Using LSTMImplementing a Facial Recognition System with Neural NetworksWhat's Next? | |
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| contents | Table of ContentsMachine Learning and Neural Networks 101Predicting Diabetes with Multilayer PerceptronsPredicting Taxi Fares with Deep Feedforward NetworksCats Versus Dogs -- Image Classification Using CNNsRemoving Noise from Images Using AutoencodersSentiment Analysis of Movie Reviews Using LSTMImplementing a Facial Recognition System with Neural NetworksWhat's Next? |
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| spelling | Loy, James, author. Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / James Loy. Birmingham, UK : Packt Publishing, 2019. 1 online resource (v, 295 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from title page (Safari, viewed April 18, 2019). Includes index. Table of ContentsMachine Learning and Neural Networks 101Predicting Diabetes with Multilayer PerceptronsPredicting Taxi Fares with Deep Feedforward NetworksCats Versus Dogs -- Image Classification Using CNNsRemoving Noise from Images Using AutoencodersSentiment Analysis of Movie Reviews Using LSTMImplementing a Facial Recognition System with Neural NetworksWhat's Next? Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Réseaux neuronaux (Informatique) Apprentissage automatique. Intelligence artificielle. artificial intelligence. aat Mathematical theory of computation. bicssc Machine learning. bicssc Neural networks & fuzzy systems. bicssc Artificial intelligence. bicssc COMPUTERS Programming Languages Python. bisacsh Artificial intelligence fast Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast Print version: Loy, James. Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects. Birmingham ; Mumbai : Packt Publishing Ltd, ©2019 301 pages 9781789138900 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2037520 Volltext |
| spellingShingle | Loy, James Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / Table of ContentsMachine Learning and Neural Networks 101Predicting Diabetes with Multilayer PerceptronsPredicting Taxi Fares with Deep Feedforward NetworksCats Versus Dogs -- Image Classification Using CNNsRemoving Noise from Images Using AutoencodersSentiment Analysis of Movie Reviews Using LSTMImplementing a Facial Recognition System with Neural NetworksWhat's Next? Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Réseaux neuronaux (Informatique) Apprentissage automatique. Intelligence artificielle. artificial intelligence. aat Mathematical theory of computation. bicssc Machine learning. bicssc Neural networks & fuzzy systems. bicssc Artificial intelligence. bicssc COMPUTERS Programming Languages Python. bisacsh Artificial intelligence fast Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast |
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| title | Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / |
| title_auth | Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / |
| title_exact_search | Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / |
| title_full | Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / James Loy. |
| title_fullStr | Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / James Loy. |
| title_full_unstemmed | Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects / James Loy. |
| title_short | Neural network projects with Python : |
| title_sort | neural network projects with python the ultimate guide to using python to explore the true power of neural networks through six projects |
| title_sub | the ultimate guide to using Python to explore the true power of neural networks through six projects / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Réseaux neuronaux (Informatique) Apprentissage automatique. Intelligence artificielle. artificial intelligence. aat Mathematical theory of computation. bicssc Machine learning. bicssc Neural networks & fuzzy systems. bicssc Artificial intelligence. bicssc COMPUTERS Programming Languages Python. bisacsh Artificial intelligence fast Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Neural networks (Computer science) Machine learning. Artificial intelligence. Neural Networks, Computer Artificial Intelligence Machine Learning Python (Langage de programmation) Réseaux neuronaux (Informatique) Apprentissage automatique. Intelligence artificielle. artificial intelligence. Mathematical theory of computation. Neural networks & fuzzy systems. COMPUTERS Programming Languages Python. Artificial intelligence Machine learning |
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| work_keys_str_mv | AT loyjames neuralnetworkprojectswithpythontheultimateguidetousingpythontoexplorethetruepowerofneuralnetworksthroughsixprojects |