Difference between revisions of "TensorFlow"
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* https://github.com/tensorflow/tensorflow | * https://github.com/tensorflow/tensorflow | ||
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Other learning materials apart from https://www.tensorflow.org/learn include: | Other learning materials apart from https://www.tensorflow.org/learn include: | ||
| − | * DeepLearning.AI TensorFlow Developer Professional Certificate: | + | * Coursera: DeepLearning.AI TensorFlow Developer Professional Certificate: (Recomented on https://www.tensorflow.org/certificate) |
: https://www.coursera.org/professional-certificates/tensorflow-in-practice | : https://www.coursera.org/professional-certificates/tensorflow-in-practice | ||
: https://github.com/golamSaroar/tensorflow-in-practice-specialization | : https://github.com/golamSaroar/tensorflow-in-practice-specialization | ||
| − | * TensorFlow Developer Certificate in 2023: Zero to Mastery | + | * Udacity: Intro to TensorFlow for Deep Learning: (Recomented on https://www.tensorflow.org/certificate) |
| + | : https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187 | ||
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| + | * Udemy: TensorFlow Developer Certificate in 2023: Zero to Mastery | ||
: https://www.udemy.com/course/tensorflow-developer-certificate-machine-learning-zero-to-mastery/ | : https://www.udemy.com/course/tensorflow-developer-certificate-machine-learning-zero-to-mastery/ | ||
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| + | '''TensorFlow certification''':<br /> | ||
| + | https://www.tensorflow.org/certificate | ||
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| + | Before you take the exam, please review our Candidate Handbook: https://www.tensorflow.org/static/extras/cert/TF_Certificate_Candidate_Handbook.pdf | ||
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| + | Google provides a certification program for TensorFlow called the "TensorFlow Developer Certificate". This certification program is designed to test and validate your knowledge and skills in developing and deploying TensorFlow models for real-world applications. | ||
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| + | The TensorFlow Developer Certificate exam is a computer-based exam that includes a combination of multiple-choice and coding questions. | ||
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| + | To take the exam and earn the certification, you must pay a fee. As of my knowledge cut-off in September 2021, the fee for the exam was $100 USD. | ||
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Revision as of 17:46, 31 March 2023
This is a protected page.
Other learning materials apart from https://www.tensorflow.org/learn include:
- Coursera: DeepLearning.AI TensorFlow Developer Professional Certificate: (Recomented on https://www.tensorflow.org/certificate)
- https://www.coursera.org/professional-certificates/tensorflow-in-practice
- https://github.com/golamSaroar/tensorflow-in-practice-specialization
- Udacity: Intro to TensorFlow for Deep Learning: (Recomented on https://www.tensorflow.org/certificate)
- Udemy: TensorFlow Developer Certificate in 2023: Zero to Mastery
TensorFlow certification:
https://www.tensorflow.org/certificate
Before you take the exam, please review our Candidate Handbook: https://www.tensorflow.org/static/extras/cert/TF_Certificate_Candidate_Handbook.pdf
Google provides a certification program for TensorFlow called the "TensorFlow Developer Certificate". This certification program is designed to test and validate your knowledge and skills in developing and deploying TensorFlow models for real-world applications.
The TensorFlow Developer Certificate exam is a computer-based exam that includes a combination of multiple-choice and coding questions.
To take the exam and earn the certification, you must pay a fee. As of my knowledge cut-off in September 2021, the fee for the exam was $100 USD.
