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首页TensorFlow in 1 Day: Make your own Neural Network
TensorFlow in 1 Day: Make your own Neural Network
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更新于2023-05-28
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Tensorflow is the most popular Deep Learning Library out there. It has fantastic graph computations feature which helps data scientist to visualize his designed neural network using TensorBoard. This Machine learning library supports both Convolution as well as Recurrent Neural network. It supports parallel processing on CPU as well as GPU. Prominent machine learning algorithms supported by TensorFlow are Deep Learning Classification, wipe & deep, Boston Tree amongst others. The book is very hands-on and gives you industry ready deep learnings practices.
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TensorFlowin1Day:Makeyourown
NeuralNetwork
ByKrishnaRungta
Copyright2018-AllRightsReserved–KrishnaRungta
ALLRIGHTSRESERVED.Nopartofthispublicationmaybereproducedor
transmittedinanyformwhatsoever,electronic,ormechanical,including
photocopying,recording,orbyanyinformationalstorageorretrievalsystem
withoutexpresswritten,datedandsignedpermissionfromtheauthor.

TableOfContent
Chapter1:WhatisDeeplearning?
1. WhatisDeeplearning?
2. DeeplearningProcess
3. ClassificationofNeuralNetworks
4. TypesofDeepLearningNetworks
5. Feed-forwardneuralnetworks
6. Recurrentneuralnetworks(RNNs)
7. Convolutionalneuralnetworks(CNN)
Chapter2:MachineLearningvsDeepLearning
1. WhatisAI?
2. WhatisML?
3. WhatisDeepLearning?
4. MachineLearningProcess
5. DeepLearningProcess
6. AutomateFeatureExtractionusingDL
7. DifferencebetweenMachineLearningandDeepLearning

8. WhentouseMLorDL?
Chapter3:WhatisTensorFlow?
1. WhatisTensorFlow?
2. HistoryofTensorFlow
3. TensorFlowArchitecture
4. WherecanTensorflowrun?
5. IntroductiontoComponentsofTensorFlow
6. WhyisTensorFlowpopular?
7. ListofProminentAlgorithmssupportedbyTensorFlow
Chapter4:ComparisonofDeepLearningLibraries
1. 8BestDeeplearningLibraries/Framework
2. MICROSOFTCOGNITIVETOOLKIT(CNTK)
3. TenserFlowVsTheanoVsTorchVsKerasVsinfer.netVsCNTKVs
MXNetVsCaffe:KeyDifferences
Chapter5:HowtoDownloadandInstallTensorFlowWindowsandMac
1. TensorFlowVersions
2. InstallAnaconda
3. Create.ymlfiletoinstallTensorflowanddependencies

4. LaunchJupyterNotebook
5. Jupyterwiththemaincondaenvironment
Chapter6:JupyterNotebookTutorial
1. WhatisJupyterNotebook?
2. JupyterNotebookApp
3. HowtouseJupyter
Chapter7:TensorflowonAWS
1. PART1:Setupakeypair
2. PART2:Setupasecuritygroup
3. Launchyourinstance(Windowsusers)
4. Part4:InstallDocker
5. Part5:InstallJupyter
6. Part6:Closeconnection
Chapter8:TensorFlowBasics:Tensor,Shape,Type,Graph,Sessions&
Operators
1. WhatisaTensor?
2. RepresentationofaTensor
3. TypesofTensor
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