Deep Learning with Python (2nd edition)

Reading Journey

Started: 2022-01-05T19:10:46Z
Ended: 2022-01-13T20:40:07Z
Total Time Read: 11hrs 24mins 0secs

Code

%run _help_reading.py
import pandas as pd

df = pd.read_csv(
  'https://github.com/MrGeislinger/victorsothervector/raw/main/'
  'data/reading/all_reading-clean.csv'
)

book_name = """Deep Learning with Python (2nd edition)"""
one_title = one_title_data(df, book_name)
one_title_summary = get_summary_by_day(one_title)
generate_plot(one_title_summary, book_name);

/Users/victor/Developer/Workspace/victorsothervector/books/_help_reading.py:78: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. Otherwise, ticks may be mislabeled.
  ax.set_xticklabels(

Figure 1: Reading done for Deep Learning with Python (2nd edition)

title: “Deep Learning with Python (2nd edition)” book: title: “Deep Learning with Python (2nd edition)” format: html: code-fold: true creator: “@victorgeislinger” —

Thoughts on Deep Learning with Python (2nd edition)

Overview

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You’ll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You’ll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you’ll have the knowledge and hands-on skills to apply deep learning in your own projects.

READING

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