If you are a C++ programmer who has never used Boost libraries before, this book will get you up-to-speed with using them. Whether you are developing new C++ software or maintaining existing code written using Boost libraries, this hands-on introduction will help you decide on the right ...
IfyouareaC++programmerwhohasneverusedBoostlibrariesbefore,thisbookwillgetyouup-to-speedwithusingthem.WhetheryouaredevelopingnewC++softwareormaintainingexistingcodewrittenusingBoostlibraries,thishands-onintroductionwillhelpyoudecideontherightlibraryandtechniquestosolveyourpracticalprogrammingproblems. 品牌:中图公司 上架时...
IfyouareaC++programmerwhohasneverusedBoostlibrariesbefore,thisbookwillgetyouup-to-speedwithusingthem.WhetheryouaredevelopingnewC++softwareormaintainingexistingcodewrittenusingBoostlibraries,thishands-onintroductionwillhelpyoudecideontherightlibraryandtechniquestosolveyourpracticalprogrammingproblems. 最新...
Arindam Mukherjee创作的计算机网络小说《Learning Boost C++ Libraries》,已更新章,最新章节:undefined。IfyouareaC++programmerwhohasneverusedBoostlibrariesbefore,thisbookwillgetyouup-to-speedwithusingthem.Whetheryouaredevelo…
Boost libraries a decade ago, while looking for a portable C++ regular expressions library. Over the next couple of days, porting Perl and Korn Shell text-processing code to C++ became a breeze, and I took an instant liking to Boost. In using many more Boost libraries to write software ...
Top SDKs and Libraries Parallel Programming - CUDA Toolkit Developer Tools - Nsight Tools Edge AI applications - Jetpack BlueField data processing - DOCA Accelerated Libraries - CUDA-X Libraries Conversational AI - NeMo Deep Learning Inference - TensorRT Deep Learning Training - cuDNN Dee...
If you like this software, you can give us astarto boost our visibility! All direct contributions are also welcome. Feel free to post a newissueor clone the repository and create apull requestwith a new branch. For an even more interactive participation, check out thediscussionsand theContribu...
Gradient Boost Part 1: Regression Main Ideas 0:15:52 Gradient Boost Part 2: Regression Details 0:26:45 Gradient Boost Part 3: Classification 0:17:02 Gradient Boost Part 4: Classification Details 0:36:59 Support Vector Machines, Clearly Explained!!! 0:20:32 Support Vector Machines Part 2:...
Out-of-the-box: no or little change to source code required to achieve faster Python application performance. The Integrated Intel® performance libraries: Intel® Math Kernel Library (MKL) and Intel® Data Analytics Acceleration Library (Intel® DAAL), for example, can be used to ...
All of these network embedding frameworks are open-source libraries available on GitHub.Fig. 11shows the number of reported issues for each network embedding library on GitHub. Table 6.Github source code of NRL models. ModelCode source DeepWalkhttps://github.com/phanein/deepwalk ...