April 2020
Intermediate to advanced
380 pages
9h 24m
English
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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Summary
In this chapter, we learned about the growth of AI in mobile devices, which provides machines with the ability to reason and make decisions without being explicitly programmed. We also studied machine learning and deep learning, which are inclusive of the technologies and algorithms associated with the domain of AI. We looked at various deep learning architectures, including CNNs, GANs, RNNs, and LSTMs.
We introduced reinforcement learning and NLP, along with the different methods of integrating AI on Android and iOS. Basic knowledge of deep learning and of how we can integrate it with mobile apps is important for the upcoming chapters, where we shall be extensively using this knowledge to create some real-world applications.
In the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.