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Intelligent Projects Using Python

You're reading from   Intelligent Projects Using Python 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788996921
Length 342 pages
Edition 1st Edition
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Author (1):
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Santanu Pattanayak Santanu Pattanayak
Author Profile Icon Santanu Pattanayak
Santanu Pattanayak
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Table of Contents (12) Chapters Close

Preface 1. Foundations of Artificial Intelligence Based Systems FREE CHAPTER 2. Transfer Learning 3. Neural Machine Translation 4. Style Transfer in Fashion Industry using GANs 5. Video Captioning Application 6. The Intelligent Recommender System 7. Mobile App for Movie Review Sentiment Analysis 8. Conversational AI Chatbots for Customer Service 9. Autonomous Self-Driving Car Through Reinforcement Learning 10. CAPTCHA from a Deep-Learning Perspective 11. Other Books You May Enjoy

The core logic of the Android app

The core logic of the Android app is to process the user requests, along with the data passed, and then send the results back to the user. As a part of this mobile app, the core logic will accept the movie review provided by the user, process the raw data, and convert it to a format that the trained LSTM model can run an inference on. The OnClickListener functionality in Java is utilized to monitor whether the user has submitted a processing request. Each of the words in the provided movie review needs to be changed to their indices, before the input can be fed directly to the optimized trained LSTM model for inference. Aside from the optimized protobuf model, a dictionary of the words and their corresponding indices is also stored for this purpose. The TensorFlowInferenceInterface methods are used to run inferences with the trained model. The...

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