| Description |
1 online resource (v, 295 pages) : illustrations |
| Note |
Includes index. |
| 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? |
| Summary |
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. |
| Subject |
Python (Computer program language)
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Neural networks (Computer science)
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Machine learning.
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Artificial intelligence.
|
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Neural Networks, Computer |
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Artificial Intelligence |
|
Machine Learning |
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Python (Langage de programmation) |
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Réseaux neuronaux (Informatique) |
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Apprentissage automatique. |
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Intelligence artificielle. |
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artificial intelligence. |
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Mathematical theory of computation. |
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Machine learning. |
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Neural networks & fuzzy systems. |
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Artificial intelligence. |
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Artificial intelligence |
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Machine learning |
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Neural networks (Computer science) |
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Python (Computer program language) |
| Other Form: |
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 |
| ISBN |
9781789133318 |
|
1789133319 |
|
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