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Mobile Artificial Intelligence Projects

You're reading from  Mobile Artificial Intelligence Projects

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344073
Pages 312 pages
Edition 1st Edition
Languages
Authors (3):
Karthikeyan NG Karthikeyan NG
Profile icon Karthikeyan NG
Arun Padmanabhan Arun Padmanabhan
Profile icon Arun Padmanabhan
Matt Cole Matt Cole
Profile icon Matt Cole
View More author details

Table of Contents (12) Chapters

Preface 1. Artificial Intelligence Concepts and Fundamentals 2. Creating a Real-Estate Price Prediction Mobile App 3. Implementing Deep Net Architectures to Recognize Handwritten Digits 4. Building a Machine Vision Mobile App to Classify Flower Species 5. Building an ML Model to Predict Car Damage Using TensorFlow 6. PyTorch Experiments on NLP and RNN 7. TensorFlow on Mobile with Speech-to-Text with the WaveNet Model 8. Implementing GANs to Recognize Handwritten Digits 9. Sentiment Analysis over Text Using LinearSVC 10. What is Next? 11. Other Books You May Enjoy

Further reading

Here is a list of resources that can be referenced to appreciate and dive deeper into the concepts of AI and deep learning:

  • Neural Networks and deep learning, http://neuralnetworksanddeeplearning.com/
  • Michael Taylor's Make Your Own Neural Network: An In-depth Visual Introduction For Beginners, https://www.amazon.in/Machine-Learning-Neural-Networks-depth-ebook/dp/B075882XCP
  • Tariq Rashid's Make Your Own Neural Network, https://www.amazon.in/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G
  • Nick Bostrom's Superintelligence, https://en.wikipedia.org/wiki/Superintelligence:_Paths,_Dangers,_Strategies
  • Pedro Domingos's The Master Algorithm, https://en.wikipedia.org/wiki/The_Master_Algorithm
  • Deep Learning Book, http://www.deeplearningbook.org/
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Mobile Artificial Intelligence Projects
Published in: Mar 2019 Publisher: Packt ISBN-13: 9781789344073
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