knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual.....
as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios....
Chapter11/pytorch Chapter12 Chapter13 build_scripts env_scripts LICENSE README.md Repository files navigation README MIT license Hands-On-Machine-Learning-with-C++ This is the code repository for Hands-On Machine Learning with C++, published by Packt. Build, train, and deploy end-to-...
9、PyTorch实战必读教材-《PyTorch Recipes - A Problem-Solution Approach》Pradeepta Mishra最新版 PyTorch是由Facebook的人工智能研究部门创建的,该部门旨在使模型开发过程简单、直接、动态,这样开发人员就不必担心在编译和执行模型之前声明对象。它基于Torch框架,是Python的扩展。 这本书面向数据科学家、自然语言处理工程...
Kirill Kolodiazhnyi创作的工业技术小说《Hands/On Machine Learning with C++》,已更新章,最新章节:undefined。ImplementsupervisedandunsupervisedmachinelearningalgorithmsusingC++librariessuchasPyTorchC++API,Caffe2,Shogun,Shark-ML,m…
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing, performance measuring, and model selection usi...
learning,andanomalydetectionusingmodernC++librariessuchasPyTorchC++API,Caffe2,Shogun,Shark-ML,mlpack,anddlib.Next,you’llexploreneuralnetworksanddeeplearningusingexamplessuchasimageclassificationandsentimentanalysis,whichwillhelpyousolvevariousproblems.Later,you’lllearnhowtohandleproductionanddeploymentchallengeson...
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3/e)豆瓣评分:0.0 简介:Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about th
learning,andanomalydetectionusingmodernC++librariessuchasPyTorchC++API,Caffe2,Shogun,Shark-ML,mlpack,anddlib.Next,you’llexploreneuralnetworksanddeeplearningusingexamplessuchasimageclassificationandsentimentanalysis,whichwillhelpyousolvevariousproblems.Later,you’lllearnhowtohandleproductionanddeploymentchallengeson...
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key … - Selection from Hands-On Machine Learning