Applied Deep Learning with Python
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Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "We can see the NotebookApp being run on a local server."

A block of code is set as follows:

fig, ax = plt.subplots(1, 2)
sns.regplot('RM', 'MEDV', df, ax=ax[0],
scatter_kws={'alpha': 0.4}))
sns.regplot('LSTAT', 'MEDV', df, ax=ax[1],
scatter_kws={'alpha': 0.4}))

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

    cat chapter-1/requirements.txt
matplotlib==2.0.2
numpy==1.13.1
pandas==0.20.3
requests==2.18.4

Any command-line input or output is written as follows:

pip install version_information 
pip install ipython-sql

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Notice how the white dress price was used to pad the missing values."

Warnings or important notes appear like this.
Tips and tricks appear like this.