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. | 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. | 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. | ||
Revision as of 20:42, 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:
- 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.
