Deep Learning In Modern C Endtoend Development And Implementation Of Deep Learning Algorithms Luiz Carlos Doleron by Luiz Carlos D'oleron 9789365893519, 9365893518 instant download after payment.

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++.