Difference between revisions of "TensorFlow"

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TensorFlow is an open-source software library developed by '''Google''' for machine learning and artificial intelligence. It was first released in 2015 and has become one of the most popular machine learning frameworks in the world.
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TensorFlow is an open-source software library developed by '''Google''' for machine learning and artificial intelligence. It was first released in 2015.
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TensorFlow is primarily designed for deep learning, and usually referred to as a library for deep learning, but it can also be used for traditional machine learning tasks.
  
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TensorFlow is designed to be flexible, scalable, and easy to use, allowing developers to build and train machine learning models across a wide range of applications. It supports a variety of programming languages, including Python, C++, and Java, and can be used for a range of machine learning tasks, including image and speech recognition, natural language processing, and predictive analytics.
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It supports a variety of programming languages, including Python, C++, and Java, and can be used for a range of machine learning tasks, including image and speech recognition, natural language processing, and predictive analytics.
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One of the key features of TensorFlow is its ability to handle both '''deep learning''' and traditional machine learning models.  
 
  
  

Revision as of 19:41, 31 March 2023



TensorFlow is an open-source software library developed by Google for machine learning and artificial intelligence. It was first released in 2015. TensorFlow is primarily designed for deep learning, and usually referred to as a library for deep learning, but it can also be used for traditional machine learning tasks.

It supports a variety of programming languages, including Python, C++, and Java, and can be used for a range of machine learning tasks, including image and speech recognition, natural language processing, and predictive analytics.



Other learning materials apart from https://www.tensorflow.org/learn include:

https://www.coursera.org/professional-certificates/tensorflow-in-practice
https://github.com/golamSaroar/tensorflow-in-practice-specialization
https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
  • Udemy: TensorFlow Developer Certificate in 2023: Zero to Mastery
https://www.udemy.com/course/tensorflow-developer-certificate-machine-learning-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.



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