Difference between revisions of "TensorFlow"
Adelo Vieira (talk | contribs) |
Adelo Vieira (talk | contribs) |
||
| Line 1: | Line 1: | ||
{{Sidebar}} | {{Sidebar}} | ||
| + | |||
| + | 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. | ||
| + | |||
| + | 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. | ||
| + | |||
| + | One of the key features of TensorFlow is its ability to handle both '''deep learning''' and traditional machine learning models. | ||
| + | |||
* https://www.tensorflow.org/learn | * https://www.tensorflow.org/learn | ||
Revision as of 20:21, 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 and has become one of the most popular machine learning frameworks in the world.
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.
One of the key features of TensorFlow is its ability to handle both deep learning and traditional machine learning models.
Other learning materials apart from https://www.tensorflow.org/learn include:
- Coursera: DeepLearning.AI TensorFlow Developer Professional Certificate: (Recommended 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: (Recommended 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.
