Intelligent Mobile Projects with TensorFlow
Par :Formats :
- Réservation en ligne avec paiement en magasin :
- Indisponible pour réserver et payer en magasin
- Nombre de pages390
- PrésentationBroché
- FormatGrand Format
- Poids0.737 kg
- Dimensions19,5 cm × 23,6 cm × 2,5 cm
- ISBN978-1-78883-454-4
- EAN9781788834544
- Date de parution17/05/2018
- ÉditeurPackt Publishing
Résumé
As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future ? Artificial Intelligence (AD is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of Al.
This book covers more than 10 complete 'OS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device : from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You'll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models.
You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. Things you will learn : Classify images with transfer learning ; Detect objects and their locations ; Transform pictures with amazing art styles ; Understand simple speech commands ; Describe images in natural language ; Recognize drawing with Convolutional Neural Network and Long Short-Term Memory ; Predict stock price with Recurrent Neural Network in TensorFlow and Keras ; Generate and enhance images with generative adversarial networks ; Build AlphaZero-like mobile game app in TensorFlow and Keras ; Use TensorFlow Lite and Core ML on mobile ; Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn.
This book covers more than 10 complete 'OS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device : from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You'll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models.
You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. Things you will learn : Classify images with transfer learning ; Detect objects and their locations ; Transform pictures with amazing art styles ; Understand simple speech commands ; Describe images in natural language ; Recognize drawing with Convolutional Neural Network and Long Short-Term Memory ; Predict stock price with Recurrent Neural Network in TensorFlow and Keras ; Generate and enhance images with generative adversarial networks ; Build AlphaZero-like mobile game app in TensorFlow and Keras ; Use TensorFlow Lite and Core ML on mobile ; Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn.
As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future ? Artificial Intelligence (AD is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of Al.
This book covers more than 10 complete 'OS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device : from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You'll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models.
You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. Things you will learn : Classify images with transfer learning ; Detect objects and their locations ; Transform pictures with amazing art styles ; Understand simple speech commands ; Describe images in natural language ; Recognize drawing with Convolutional Neural Network and Long Short-Term Memory ; Predict stock price with Recurrent Neural Network in TensorFlow and Keras ; Generate and enhance images with generative adversarial networks ; Build AlphaZero-like mobile game app in TensorFlow and Keras ; Use TensorFlow Lite and Core ML on mobile ; Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn.
This book covers more than 10 complete 'OS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device : from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You'll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models.
You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. Things you will learn : Classify images with transfer learning ; Detect objects and their locations ; Transform pictures with amazing art styles ; Understand simple speech commands ; Describe images in natural language ; Recognize drawing with Convolutional Neural Network and Long Short-Term Memory ; Predict stock price with Recurrent Neural Network in TensorFlow and Keras ; Generate and enhance images with generative adversarial networks ; Build AlphaZero-like mobile game app in TensorFlow and Keras ; Use TensorFlow Lite and Core ML on mobile ; Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn.
