There are a number of text conventions used throughout this book.
CodeInText: Indicates code words in text, folder names, filenames, file extensions, pathnames, dummy URLs, and user input. Here is an example: "The .fit() method of the Model object starts the training procedure."
A block of code is set as follows:
import tensorflow as tf
x1 = tf.constant([[0, 1], [2, 3]])
x2 = tf.constant(10)
x = x1 * x2
When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:
neural_network = tf.keras.Sequential(
[tf.keras.layers.Dense(64),
tf.keras.layers.Dense(10, activation="softmax")])
Any command-line input or output is written as follows:
$ tensorboard --logdir ./logs
Bold: Indicates a new term, an important word, or words that you see on screen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "You can observe the performance of your solution on the Scalars page of TensorBoard."
Warnings or important notes appear like this.
Tips and tricks appear like this.
