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Python Deep Learning

With increasing interest in AI around the world, deep learning has attracted a great deal of public attention.

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Description:

With increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries. This book will give you a practical introduction to AI, including best practices using real-world use cases. You'll learn to recognize and extract information to increase predictive accuracy and optimize results.

  • Access 406 pages of digital content 24/7
  • Get a practical deep dive into deep learning algorithms
  • Explore deep learning further with Theano, Caffe, Keras, & TensorFlow
  • Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders & Restricted Boltzmann Machines
  • Dive into Deep Belief Nets & Deep Neural Networks
  • Discover more deep learning algorithms with Dropout & Convolutional Neural Networks
  • Get to know device strategies so you can use deep learning algorithms & libraries in the real world

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 4,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Plan & pricing·Lifetime access

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Python Deep
$10$43
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FAQ

Questions buyers ask before they click

Is this Python Deep Learning deal still available?+
No. This was an archived lifetime deal sold via StackSocial for $10. The deal is no longer active. The Packt Publishing book it is based on can be found on Packt's website or platforms like Amazon, often available as an ebook or in print.
What is included in this deal — a course or a book?+
This deal was for a digital book (ebook) from Packt Publishing, not a video course. It provides 406 pages of digital content accessible 24/7.
What deep learning frameworks does the book cover?+
The book covers Theano, Caffe, Keras, and TensorFlow, giving readers exposure to several major deep learning libraries alongside the core algorithmic concepts.
What topics does the book include?+
Topics include Auto-Encoders, Restricted Boltzmann Machines, Deep Belief Nets, Deep Neural Networks, Dropout, Convolutional Neural Networks (CNNs), and practical deployment strategies for using deep learning in real-world settings.
Who publishes this book?+
The book is published by Packt Publishing, a technology book and eLearning publisher that has released over 4,000 IT and programming titles.
Is this book still relevant given how fast deep learning evolves?+
The foundational concepts — CNNs, autoencoders, RBMs, and neural networks — remain relevant, but specific library APIs (especially Theano and Caffe) have largely been superseded by modern TensorFlow and PyTorch. Supplementary up-to-date resources are recommended.
What background knowledge is needed to read this book?+
Readers should have a working knowledge of Python and basic mathematics (linear algebra, calculus). Some familiarity with machine learning concepts is helpful before tackling deep learning material.

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Fast.ai Practical Deep Learning course, Coursera Deep Learning Specialization (deeplearning.ai), O'Reilly Learning platform, Packt subscription, Udemy Deep Learning A-Zswitch & save →