Smart mobile projects with Tensorflow
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Classification of images using transfer learning
Detection and localization of objects
Transformation of the image using amazing artistic styles
Understanding simple speech teams
Description of images in a natural language
Recognition of drawings using a adulthood neural network and long short -term memory
Prediction of the exchange price using a recurrent neural network
Generation and improvement of image using adversarial networks
Building a game application in Tensorflow and Keras
Using the Tensorflow Lite and Core ML platform on a mobile device
as a developer, you always need to follow and be prepared for what will be in the trend in the near future, while also focusing on what is currently in the trend. What else could be better than learning to integrate the best of both worlds, present and future? Artificial intelligence (AI) is widely considered as the next large event after mobile devices, and the Tensorflow platform from Google is a leading open source tool for machine learning.
This book covers more than 10 full-fledged applications for iOS, Android and Raspberry Pi based on Tensorflow, built from scratch and perform all kinds of models in autonomous mode: from computer vision and processing of speech and language to generative and affiliate networks and Alphazero-like deep self-learning with maximization of the received remuneration.
You will learn how to use or train the existing TensorFlow models, create your own models and develop intellectual mobile applications that use them
Detection and localization of objects
Transformation of the image using amazing artistic styles
Understanding simple speech teams
Description of images in a natural language
Recognition of drawings using a adulthood neural network and long short -term memory
Prediction of the exchange price using a recurrent neural network
Generation and improvement of image using adversarial networks
Building a game application in Tensorflow and Keras
Using the Tensorflow Lite and Core ML platform on a mobile device
as a developer, you always need to follow and be prepared for what will be in the trend in the near future, while also focusing on what is currently in the trend. What else could be better than learning to integrate the best of both worlds, present and future? Artificial intelligence (AI) is widely considered as the next large event after mobile devices, and the Tensorflow platform from Google is a leading open source tool for machine learning.
This book covers more than 10 full-fledged applications for iOS, Android and Raspberry Pi based on Tensorflow, built from scratch and perform all kinds of models in autonomous mode: from computer vision and processing of speech and language to generative and affiliate networks and Alphazero-like deep self-learning with maximization of the received remuneration.
You will learn how to use or train the existing TensorFlow models, create your own models and develop intellectual mobile applications that use them
Author:
Author:Tang Jeff
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
Series:
Series: Machine Learning
ISBN:
ISBN:978-5-97060-706-0
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