Book Image

TensorFlow Machine Learning Cookbook

By : Nick McClure
Book Image

TensorFlow Machine Learning Cookbook

By: Nick McClure

Overview of this book

TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You’ll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google’s machine learning library TensorFlow. This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP. Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.
Table of Contents (19 chapters)
TensorFlow Machine Learning Cookbook
About the Author
About the Reviewer
Customer Feedback

There's more…

Be sure to run the preceding script from the command line:

$ python3

Run the command: $tensorboard --logdir="tensorboard"   Then navigate to
Generation 10 of 100. Train Loss: 20.4, Test Loss: 20.5.
Generation 20 of 100. Train Loss: 17.6, Test Loss: 20.5.
Generation 90 of 100. Train Loss: 20.1, Test Loss: 20.5.
Generation 100 of 100. Train Loss: 19.4, Test Loss: 20.5.

We'll then run the preceding specified command to start Tensorboard:

$ tensorboard --logdir="tensorboard"
Starting TensorBoard b'29' on port 6006
(You can navigate to

Here is a sample of what we can see in Tensorboard:

Figure 1: The scalar value, our slope estimate, visualized in Tensorboard.

Here, we can see a plot over the 100 generations of our scalar summary, the slope estimate. We can see that it does, in fact, approach the true value of 2:

Figure 2: Here we visualize histograms of the errors and residuals for our model.

The preceding graph shows one...