Here are the resources for this course:

Main Textbook

The complete text for this course is here on GitHub. This same material is also available in BOOK FORMAT. The course textbook is Jeff Heaton’s Deep Learning Book —> “Applications of Deep Neural networks with Keras“, ISBN 9798416344269.

If you would like to cite the material from this course/book, please use the following BibTex citation:

@misc{heaton2020applications,
    title={Applications of Deep Neural Networks},
    author={Jeff Heaton},
    year={2020},
    eprint={2009.05673},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

Required Textbooks

• Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (MIT Press, 2016) Available online

Supplementary Resources

• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron (O'Reilly, 2019)
• Jeff Heaton's Deep Learning Course Materials GitHub Repository
• TensorFlow Documentation: https://www.tensorflow.org/tutorials

Online Resources

• PyTorch Tutorials: https://pytorch.org/tutorials/