Tensorflow 2.X in the Colaboratory Cloud: An Introduction to Deep Learning on Google's Cloud Service

1. Introduction to Deep Learning2. Build Your First Neural Network with Google Colab3. Working with TensorFlow Data4. Working with Other Data5. Classification6. Regression7. Convolutional Neural Networks8. Automated Text Generation9. Sentiment Analysis10. Time Series Forecasting with RNNs

Author: David Paper
Publisher: Apress
Published: 01/14/2021
Pages: 264
Binding Type: Paperback
Weight: 1.12lbs
Size: 10.00h x 7.00w x 0.61d
ISBN13: 9781484266489
ISBN10: 148426648X
BISAC Categories:
- Computers | Artificial Intelligence | General
- Computers | Information Theory

About the Author
Dr. David Paper is a full professor at Utah State University (USU) in the Management Information Systems department. He has over 30 years of higher education teaching experience. At USU, he has over 26 years teaching in the classroom and distance education over satellite. Dr. Paper has taught a variety of classes at the undergraduate, graduate, and doctorate levels, but he specializes in technology education. He has competency in several programming languages, but his focus is currently on deep learning (Python) and database programming (PyMongo). Dr. Paper has published three technical books for industry professionals, including Web Programming for Business: PHP Object-Oriented Programming with Oracle, Data Science Fundamentals for Python and MongoDB (Apress), and Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python (Apress). He has authored more than 100 academic publications. Besides growing up in family businesses, Dr. Paper has worked for Texas Instruments, DLS, Inc., and the Phoenix Small Business Administration. He has performed IS consulting work for IBM, AT&T, Octel, Utah Department of Transportation, and the Space Dynamics Laboratory.