book

Keras to Kubernetes

by Dattaraj Rao

May 2019

Intermediate to advanced

320 pages

8h 51m

English

Wiley

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How This Book Is OrganizedConventions UsedWho Should Read This BookTools You Will NeedSummary
Data Is the New Oil and AI Is the New ElectricityApplications of Artificial IntelligenceSummary
Finding Patterns in DataThe Awesome Machine Learning CommunityTypes of Machine Learning TechniquesSolving a Simple ProblemAnalyzing a Bigger DatasetComparison of Classification MethodsBias vs. Variance: Underfitting vs. OverfittingReinforcement LearningSummary
Structured vs. Unstructured DataMaking Sense of ImagesDealing with VideosHandling Textual DataListening to SoundSummary
Handling Unstructured DataWelcome to TensorFlow and KerasBias vs. Variance: Underfitting vs. OverfittingSummary
The Rise of Deep Learning ModelsNew Kinds of Network LayersBuilding a Deep Network for Classifying Fashion ImagesCNN Architectures and Hyper‐ParametersMaking Predictions Using a Pretrained VGG ModelData Augmentation and Transfer LearningA Real Classification Problem: Pepsi vs. CokeRecurrent Neural NetworksSummary
Neural Style TransferGenerating Images Using AICredit Card Fraud Detection with AutoencodersSummary
A Quick Look at Modern Software NeedsHow AI Fits into Modern Software DevelopmentSimple to Fancy Web ApplicationsThe Rise of Cloud ComputingContainers and CaaSKubernetes: A CaaS Solution for Infrastructure ConcernsSummary
Building a Simple Microservice with Docker and KubernetesAdding AI Smarts to Your AppPackaging the App as a ContainerPushing a Docker Image to a RepositoryDeploying the App on Kubernetes as a MicroserviceSummary

Machine Learning Model LifecycleDeployment on Edge DevicesSummary
Machine Learning Platform ConcernsPutting the ML Platform TogetherSummaryA Final Word …

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Publisher Resources

ISBN: 9781119564836Purchase book