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  • Book Overview & Buying The Python Workshop Second Edition
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The Python Workshop Second Edition

The Python Workshop Second Edition - Second Edition

By : Wade, Mario Corchero Jiménez , Bird, Dr. Lau Cher Han, Graham Lee
4.6 (20)
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The Python Workshop Second Edition

The Python Workshop Second Edition

4.6 (20)
By: Wade, Mario Corchero Jiménez , Bird, Dr. Lau Cher Han, Graham Lee

Overview of this book

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.
Table of Contents (16 chapters)
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13
Chapter 13: The Evolution of Python – Discovering New Python Features

Summary

In this chapter, you learned how to build neural networks using Keras, one of the best deep learning libraries in the world. You built Sequential dense models with a variety of hidden layers and nodes using the ReLU activation function and the Adam optimizer. You used Early Stopping to find an ideal number of epochs, and you used Dropout to help prevent overfitting. Furthermore, you trained both regressors and classifiers, making sure to use binary_crossentropy as the classification loss function and the sigmoid activation function. Additionally, you learned about the foundations behind convolutions and built convolutional neural networks to classify handwritten digits with over 98% accuracy.

Congratulations on completing your deep learning journey.

The next chapter is the final chapter of the second edition of the Python Workshop, New Features in Python, which includes updates from Python 3.7 to Python 3.11.

CONTINUE READING
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Tech Concepts
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Programming languages
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The Python Workshop Second Edition
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