To fix the previous RefSwitch error, which will occur no matter whether you use the TensorFlow Pod as we did in Chapter 2, Classifying Images with Transfer Learning, and Chapter 6, Describing Images in Natural Language, or the manually built TensorFlow library, as in the other chapters, we have to use some new trick. The error occurs because the INT64 data type is required for a RefSwitch operation, but it's not one of the registered data types built into the TensorFlow library because, by default, to make the library as small as possible, only common data types for each operation are included. We may fix this from the model building end in Python, but here we'll just show you how to fix this from the iOS end, which can be useful when you don't have access to the source code to build a model.
Intelligent Mobile Projects with TensorFlow
By :
Intelligent Mobile Projects with TensorFlow
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Overview of this book
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 (AI) 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 AI. This book covers more than 10 complete iOS, 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.
Table of Contents (14 chapters)
Preface
Free Chapter
Getting Started with Mobile TensorFlow
Classifying Images with Transfer Learning
Detecting Objects and Their Locations
Transforming Pictures with Amazing Art Styles
Understanding Simple Speech Commands
Describing Images in Natural Language
Recognizing Drawing with CNN and LSTM
Predicting Stock Price with RNN
Generating and Enhancing Images with GAN
Building an AlphaZero-like Mobile Game App
Using TensorFlow Lite and Core ML on Mobile
Developing TensorFlow Apps on Raspberry Pi
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