for what选择PyTorch？
PyTorch is 由FacebookDevelopment open-source机器Learnframework, is 目 before 最受欢迎 深度Learnframework之一. 它providing了动态计算graph, 自动微分etc.强 big features, 使得modelDevelopment and debug更加直观 and flexible. PyTorch Pythonicdesign风格 and 丰富 ecosystem使其成 for 研究 and produceenvironmentin 理想选择.
This tutorial series will start from basics, 逐步Deep DivePyTorch advanced features, helping您全面Master这个Powerfulframework. 无论您 is 机器Learn new 手还 is has experience Development者, 都能 from 本Tutorialin获益.
From Basics to advanced
- PyTorchInstall and configuration
- 张量operationBasics
- build and 训练model
- modelassessment and optimization
- modeldeployment and produce化
丰富 Learnresource
- 清晰 codeexample
- Practical练习 and project
- Detailedgraph表 and 说明
- commonissues解答
- failure排除techniques
Responsive Design
- 适配桌面设备
- optimizationmove设备体验
- 清晰 导航structure
- 易于阅读 排版
- fast 速加载速度
Learning Path
PyTorchInstall and environmentconfiguration
Learnsuch as何 in 不同operationsystem on InstallPyTorch, configurationDevelopmentenvironment, 以及解决common Installissues.
PyTorch张量Basicsoperation
MasterPyTorch张量 creation, operation, 转换 and 数学运算, understanding张量 basicconcepts and usingmethod.
PyTorch自动微分mechanism
LearnPyTorch 自动微分functions, understanding计算graph and 梯度 under 降原理, Masterusingautogradformodel训练 method.
PyTorchbuild simple model
usingPyTorchbuild第一个机器Learnmodel, including线性回归 and 逻辑回归, understandingmodelbuild basic流程.
PyTorchdata加载 and 预processing
LearnusingPyTorch DataLoader and Dataset加载 and 预processingdata, improvingmodel训练efficiency.
PyTorchmodel训练 and optimization
Deep dive intomodel训练过程, including损失function选择, optimization器configuration, Learn率调整 and 过拟合防止etc.advancedtechniques.
PyTorchmodelassessment and 保存
Learnsuch as何assessmentmodelperformance, 以及model 保存 and 加载method, 确保model 可重现性 and 可deployment性.
PyTorch卷积神经network(CNN)
详细介绍卷积神经network 原理 and applications, including卷积层, 池化层, 激活function and 经典CNNarchitectureImplement.
PyTorch循环神经network(RNN)
Learn循环神经network 原理 and applications, includingLSTM, GRUetc.变体, 以及 in 序列dataprocessingin applications.
PyTorchmodeldeployment and produce化
Learnsuch as何将训练 good modeldeployment to produceenvironment, includingTorchScript, ONNX and Webdeploymentetc.method.