• Deep Learning in Modern C++ cover
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Luiz Carlos d'Oleron

Deep Learning in Modern C++: End-to-end development and implementation of deep learning algorithms

Deep Learning in Modern C++: End-to-end development and implementation of deep learning algorithms

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  • More about Deep Learning in Modern C++: End-to-end development and implementation of deep learning algorithms
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.
  • Publication date: 23 April 2025
  • Page count: 462
  • Dimensions: Height 235 mm; Width 191 mm
  • Publisher: BPB Publications
  • Format: Paperback
  • ISBN-13: 9789365893519

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