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GoogleCloudPlatform/tensorflow-without-a-phd

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

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GoogleCloudPlatform

GoogleCloudPlatform

GoogleCloudPlatform • individual

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913

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Created

May 9, 2018

Project creation date

README Summary

A comprehensive crash course in six episodes designed to teach software developers machine learning using TensorFlow. The course covers fundamental ML concepts through hands-on Jupyter notebook exercises, progressing from basic neural networks to advanced topics like convolutional neural networks and recurrent neural networks.

AI Dev Skills

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Neural Network FundamentalsTensorFlow DevelopmentConvolutional Neural NetworksRecurrent Neural NetworksImage ClassificationMNIST Digit RecognitionDeep Learning Architecture DesignMachine Learning Engineering

Tags

Neural Network FundamentalsTensorFlow DevelopmentConvolutional Neural NetworksRecurrent Neural NetworksImage ClassificationMNIST Digit RecognitionDeep Learning Architecture DesignMachine Learning EngineeringDeveloper OnboardingTabularDeveloper TrainingHands-on ML LearningNeural Network TutorialImageEducationML EducationSelf-hostedMachine Learning EducationJupyter Notebook

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Recent Activity

Updated 1 years ago

7 Days

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Quality

production
Quality
medium
Maturity
production

Categories

Model TrainingPrimaryLearning ResourcesData Science & AnalyticsOther AI / ML

PM Skills

Product Discovery

Languages

Jupyter Notebook100.0%

Timeline

Project created
May 9, 2018
Forked
Mar 13, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
May 3, 2024

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