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Beginning Application Development with TensorFlow and Keras(路易斯卡
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2022-08-04
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Limitations of Deep LearningCommon Components and Operations of Neural NetworksC
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TableofContents
BeginningApplicationDevelopmentwithTensorFlowandKeras
Whysubscribe?
PacktPub.com
Contributors
Abouttheauthor
Aboutthereviewer
Preface
WhatThisBookCovers
WhatYouNeedforThisBook
WhoThisBookisfor
Conventions
ReaderFeedback
CustomerSupport
DownloadingtheExampleCode
Installation
InstallingVisualStudio
InstallingPython3
InstallingTensorFlow
InstallingKeras
Errata
Piracy
Questions
1.IntroductiontoNeuralNetworksandDeepLearning
LessonObjectives
WhatareNeuralNetworks?
SuccessfulApplications
WhyDoNeuralNetworksWorkSoWell?
RepresentationLearning
FunctionApproximation
LimitationsofDeepLearning
InherentBiasandEthicalConsiderations
CommonComponentsandOperationsofNeuralNetworks
ConfiguringaDeepLearningEnvironment
SoftwareComponentsforDeepLearning
Python3
TensorFlow
Keras
TensorBoard
JupyterNotebooks,Pandas,andNumPy
Activity1–VerifyingSoftwareComponents
ExploringaTrainedNeuralNetwork
MNISTDataset
TrainingaNeuralNetworkwithTensorFlow
TrainingaNeuralNetwork
TestingNetworkPerformancewithUnseenData
Activity2–ExploringaTrainedNeuralNetwork
Summary
2.ModelArchitecture
LessonObjectives
ChoosingtheRightModelArchitecture
CommonArchitectures
ConvolutionalNeuralNetworks
RecurrentNeuralNetworks
GenerativeAdversarialNetworks
DeepReinforcementLearning
DataNormalization
Z-score
Point-RelativeNormalization
MaximumandMinimumNormalization
StructuringYourProblem
Activity 3 – Exploring the Bitcoin Dataset and Preparing Data for
Model
UsingKerasasaTensorFlowInterface
ModelComponents
Activity4–CreatingaTensorFlowModelUsingKeras
FromDataPreparationtoModeling
TrainingaNeuralNetwork
ReshapingTime-SeriesData
MakingPredictions
Overfitting
Activity5–AssemblingaDeepLearningSystem
Summary
3.ModelEvaluationandOptimization
LessonObjectives
ModelEvaluation
ProblemCategories
LossFunctions,Accuracy,andErrorRates
DifferentLossFunctions,SameArchitecture
UsingTensorBoard
ImplementingModelEvaluationMetrics
EvaluatingtheBitcoinModel
Overfitting
ModelPredictions
InterpretingPredictions
Activity6–CreatinganActiveTrainingEnvironment
HyperparameterOptimization
LayersandNodes-AddingMoreLayers
AddingMoreNodes
LayersandNodes-Implementation
Epochs
Epochs-Implementation
ActivationFunctions
Linear(Identity)
HyperbolicTangent(Tanh)
RectifiedLinearUnit
ActivationFunctions-Implementation
RegularizationStrategies
L2Regularization
Dropout
RegularizationStrategies–Implementation
OptimizationResults
Activity7–OptimizingaDeepLearningModel
Summary
4.Productization
LessonObjectives
HandlingNewData
SeparatingDataandModel
DataComponent
ModelComponent
DealingwithNewData
Re-TraininganOldModel
TrainingaNewModel
Activity8–DealingwithNewData
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