Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow

Price: $43.99
(as of Dec 25,2024 00:48:18 UTC – Details)

ASIN ‏ : ‎ B07LH43V8P
Publisher ‏ : ‎ Packt Publishing; 1st edition (July 25, 2019)
Publication date ‏ : ‎ July 25, 2019
Language ‏ : ‎ English
File size ‏ : ‎ 75951 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 514 pages
Page numbers source ISBN ‏ : ‎ 1789344158

Are you looking to master deep learning algorithms and gain a comprehensive understanding of their mathematical underpinnings? Look no further! Our new post, “Hands-On Deep Learning Algorithms with Python,” will guide you through the process of implementing deep learning algorithms using TensorFlow.

In this post, we will cover a variety of popular deep learning algorithms, including neural networks, convolutional neural networks, and recurrent neural networks. We will dive deep into the mathematics behind these algorithms, explaining concepts such as backpropagation, gradient descent, and activation functions.

Through hands-on examples and exercises, you will learn how to implement these algorithms in Python using TensorFlow, a powerful open-source deep learning library. By the end of this post, you will have a solid understanding of how deep learning algorithms work and the skills to apply them to real-world problems.

So, if you’re ready to take your deep learning skills to the next level, be sure to check out “Hands-On Deep Learning Algorithms with Python” and start mastering deep learning today!
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