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Deep Learning with C++. High-Performance Neural Networks and Model Deployment for Real-Time Applications Bill Chen, Vikash Gupta

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Deep Learning with C++. High-Performance Neural Networks and Model Deployment for Real-Time Applications Bill Chen, Vikash Gupta - okladka książki

Deep Learning with C++. High-Performance Neural Networks and Model Deployment for Real-Time Applications Bill Chen, Vikash Gupta - okladka książki

Deep Learning with C++. High-Performance Neural Networks and Model Deployment for Real-Time Applications Bill Chen, Vikash Gupta - audiobook MP3

Deep Learning with C++. High-Performance Neural Networks and Model Deployment for Real-Time Applications Bill Chen, Vikash Gupta - audiobook CD

Autorzy:
Bill Chen, Vikash Gupta
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Deep Learning with C++ is a hands-on guide to building, optimizing, and deploying deep learning models using the power of C++. Designed for ML engineers, data scientists, and developers working in performance-critical domains, this book provides step-by-step instruction for implementing everything from basic neural networks to CNNs, RNNs, GANs, and LLMs using the PyTorch C++ API, Caffe2, and CUDA.
You will begin by setting up a C++ deep learning environment and understanding foundational neural network concepts. Then, you'll move on to building various deep learning architectures, optimizing them for speed, and deploying them with robust monitoring and explainability features. Whether you work in finance, gaming, healthcare, or embedded systems, this book equips you to deploy deep learning systems at scale.
Complete with real-world case studies and advanced topics like distributed training, model compression, and explainability, this book ensures you're ready for production-ready AI systems that are fast, scalable, and efficient.

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O autorach książki

Xi Chen has graduated with Ph.D. in Biochemical and a Master in Statistics from the University of Kentucky. He is working as a certified NVidia Computer Vision (CV), CUDA and Deep Learning instructor. During his graduate career, he has led CV and deep learning related workshops. He also has published papers on topics of autonomic driving, reinforcement learning, and deep learning.
Vikash Gupta, Ph.D., CIIP, is a Senior Research Scientist at Amazon Web Services (AWS), based in Seattle, Washington. He earned his Ph.D. in Computational Biology from INRIA, France, where his research centered on neuroimaging and statistical modeling. At AWS, he applies deep learning and artificial intelligence to advance medical imaging technologies, contributing to open-source initiatives such as the MONAI framework for healthcare. A Certified Imaging Informatics Professional, he has authored over 15 peer-reviewed publications

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