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Deep Learning in Modern C++

by Luiz Carlos d’Oleron
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Current price ₹800.00
Original price ₹999.00
Original price ₹999.00
Original price ₹999.00
(-20%)
₹800.00
Current price ₹800.00

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Book cover type: Paperback
  • ISBN13: 9789365893519
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Bpb Publications
  • Publisher Imprint: Bpb Publications
  • Publication Date:
  • Pages: 462
  • Original Price: INR 999.0
  • Language: English
  • Edition: N/A
  • Item Weight: 790 grams
  • BISAC Subject(s): Languages / C++

Deep learning is revolutionizing how we approach complex problems, and harnessing its power directly within C++ provides unparalleled control and efficiency. This book bridges the gap between cutting-edge deep learning techniques and the robust, high-performance capabilities of modern C++, empowering developers to build sophisticated AI applications from the ground up.

This book guides you through the entire development lifecycle, starting with a solid foundation in the modern features and essential libraries, like Eigen, for C++. You will master core deep learning concepts by implementing convolutions, fully connected layers, and activation functions, while learning to optimize models using gradient descent, backpropagation, and advanced optimizers like SGD, Momentum, RMSProp, and Adam. Crucial topics like cross-validation, regularization, and performance evaluation are covered, ensuring robust and reliable applications. Finally, you will dive into computer vision, building image classifiers and object localization systems, leveraging transfer learning for optimal performance.

By the end of this book, you will be proficient in developing and deploying deep learning models within C++, equipped with the tools and knowledge to tackle real-world AI challenges with confidence and precision.

WHAT YOU WILL LEARN

* Implement core deep learning models in modern C++.
* Code CNNs, RNNs, GANs, and optimization techniques.
* Build and test robust deep learning C++ applications.
* Apply transfer learning in C++ computer vision tasks.
* Master backpropagation and gradient descent in C++.
* Develop image classifiers and object detectors in C++.

WHO THIS BOOK IS FOR

This book is tailored for C++ developers, data scientists, and machine learning engineers seeking to implement deep learning models using modern C++. A foundational understanding of C++ programming and basic linear algebra is recommended.

Luiz Carlos d'Oleron is an aritificial intelligence engineeer and works at Improvess. With a solid foundation in software architecture and development utilizing Java/JEE/C++ technologies, Luiz possesses significant experience in the practical application of artificial intelligence. His expertise particularly focuses on statistical machine learning, including data mining techniques, as well as Bayesian networks and agent-based systems.

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