 Название: Tensorflow Machine Learning: A Comprehensive Beginner's Guide to Learn About the Realms of TensorFlow Machine Learning From A-Z
Автор: Benjamin Smith
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 200
Язык: английский
Формат: pdf, azw3. epub
Размер: 10.1 MB
Are you interested in learning Machine Learning (ML) and Deep Learning (DL)? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs) and convolution, as well as parallel processing support on GPU and CPU.
While TensorFlow is an incredibly important machine and deep learning library, we also give you an introduction to three others – NumPy, Pandas, and Scikit Learn. I have produced a hands-on guide, with plenty of code examples for you to follow along with
Here’s what you will learn:
•What deep learning is
•The difference between deep learning and machine learning
•What TensorFlow is
•How to install it on Windows and Mac
•The basics of TensorFlow
•Using TensorBoard
•About NumPy, Scikit Learn, and Pandas
•About linear regression
•Kernel methods
•Building an Artificial Neural Network using TensorFlow
•TensorFlow image classification
•TensorFlow autoencoders
•Much more
If you are already proficient at programming in Python and are ready to take the next step into Machine Learning, this guide is for you. Scroll up, hit that Download button, and set off on a brand new Machine Learning journey.
Contents:
Introduction
Chapter 1: What is Deep Learning?
Chapter 2: Machine Learning vs. Deep Learning
Chapter 3: What is TensorFlow?
Chapter 4: Installing TensorFlow on Windows and Mac
Chapter 5: A Deeper Dig Into TensorFlow
Chapter 6: An Overview of TensorBoard
Chapter 7: NumPy
Chapter 8: Pandas
Chapter 9: Scikit-Learn
Chapter 10: Linear Regression
Chapter 11: Linear Regression - A Case Study
Chapter 12: Kernel Methods
Chapter 13: Using TensorFlow to Build an ANN
Chapter 14: Using TensorFlow for ConvNet Image Classification
Chapter 15: Autoencoders with TensorFlow
Conclusion
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Tensorflow Machine Learning: A Comprehensive Beginner's Guide to Learn About the Realms of TensorFlow Machine Learning From A-Z 
