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TensorFlow Case Study Chassis a machine acquisition model for predicting the publisher’s epithet from an clause using various Google Cloud technologies. The following courses testament be helpful fashionable completing this case study: Introduction to TensorFlow in Python
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Where did the idea for TensorFlow come from?
About TensorFlow. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
What are some use cases for TensorFlow neural network?
TensorFlow neural networks also work on video data. This is mainly used in Motion Detection, Real-Time Thread Detection in Gaming, Security, Airports and UX/UI fields.
How is TensorFlow used for large scale ML?
Large Scale ML: For intensive large scale tasks such as Image Classification and Language Modeling, Tensorflow provides a very fault-tolerant, distributed and optimized architecture which can used to trained very large ML models as is visible through Google’s ML focused applications.
What are some use cases for TensorFlow exastax?
Speech-to-text applications can be used to determine snippets of sound in greater audio files, and transcribe the spoken word as text. Sound based applications also can be used in CRM.
Last Update: Oct 2021
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