Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks

Price: $54.99
(as of Dec 15,2024 23:26:08 UTC – Details)

ASIN ‏ : ‎ B0BRKYYPPC
Publisher ‏ : ‎ Packt Publishing; 3rd edition (November 24, 2023)
Publication date ‏ : ‎ November 24, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 19872 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 586 pages

Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks

Deep learning is a subset of machine learning that involves training neural networks with multiple layers to learn complex patterns in data. Python has become one of the most popular programming languages for deep learning due to its simplicity and versatility.

In this post, we will delve into the inner workings of deep neural networks and explore how they can be applied to real-world tasks. We will cover topics such as backpropagation, activation functions, and optimization algorithms, as well as provide hands-on examples of building and training deep neural networks using Python libraries like TensorFlow and Keras.

By the end of this post, you will have a solid understanding of how deep neural networks work and be able to apply them to a variety of tasks, such as image classification, natural language processing, and reinforcement learning. So grab your favorite IDE and get ready to dive into the exciting world of Python deep learning!
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