Beginning deep learning with TensorFlow work with Keras, MNIST data sets, and advanced neural networks

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learn...

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Bibliographic Details
Main Authors Long, Liangqu (Author), Zeng, Xiangming (Author)
Format Electronic eBook
LanguageEnglish
Published [United States] : Apress, 2022.
Subjects
TensorFlow.
Machine learning.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781484279151
1484279158
148427914X
9781484279144
Physical Description1 online resource

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Table of Contents:
  • Chapter 1: Introduction to Artificial Intelligence
  • Chapter 2. Regression
  • Chapter 3. Classification
  • Chapter 4. Basic Tensorflow
  • Chapter 5. Advanced Tensorflow
  • Chapter 6. Neural Network
  • Chapter 7. Backward Propagation Algorithm
  • Chapter 8. Keras Advanced API
  • Chapter 9. Overfitting
  • Chapter 10. Convolutional Neural Networks
  • Chapter 11. Recurrent Neural Network
  • Chapter 12. Autoencoder
  • Chapter 13. Generative Adversarial Network (GAN)
  • Chapter 14. Reinforcement Learning
  • Chapter 15. Custom Dataset.

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