Tutorial系列Table of Contents
TensorFlow Install and environmentconfiguration
详细介绍TensorFlow Installmethod, includingWindows, macOS and Linuxsystem, 以及虚拟environmentconfiguration and commonissues解决.
View DetailsTensorFlow 张量Basicsoperation
Deep DiveunderstandingTensorFlow core concepts——张量, includingcreation, operation, 转换 and 数学运算, Master张量 basicusingmethod.
View DetailsTensorFlow 自动微分mechanism
LearnTensorFlow 自动微分functions, understanding梯度 under 降原理, Masterusingtf.GradientTapeformodel训练 method.
View DetailsTensorFlow build simple model
usingTensorFlowbuild第一个机器Learnmodel, including线性回归 and 逻辑回归, understandingmodelbuild basic流程.
View DetailsTensorFlow data加载 and 预processing
Learnusingtf.data API加载 and 预processingdata, including批processing, 打乱, map and cacheetc.operation, improvingmodel训练efficiency.
View DetailsTensorFlow model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.
View DetailsTensorFlow modelassessment and 保存
Learnsuch as何assessmentmodelperformance, including准确率, 损失值 and 混淆矩阵etc.指标, 以及model 保存 and 加载method.
View DetailsTensorFlow 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.
View DetailsTensorFlow 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.
View DetailsTensorFlow modeldeployment and produce化
Learnsuch as何将训练 good modeldeployment to produceenvironment, includingTensorFlow Serving, TensorFlow Lite and Webdeploymentetc.method.
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