Does Google’s TensorFlow framework enable to increase the level of abstraction in development of machine learning models (e.g. with replacing coding with configuration)?
Saturday, 11 November 2023
by Hema Gunasekaran
The Google TensorFlow framework indeed enables developers to increase the level of abstraction in the development of machine learning models, allowing for the replacement of coding with configuration. This feature provides a significant advantage in terms of productivity and ease of use, as it simplifies the process of building and deploying machine learning models. One
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Deep neural networks and estimators
Tagged under:
Abstraction, Artificial Intelligence, Coding, Configuration, Development, Machine Learning, TensorFlow
How does Eager mode in TensorFlow improve efficiency and effectiveness in development?
Wednesday, 02 August 2023
by EITCA Academy
Eager mode in TensorFlow is a programming interface that allows for immediate execution of operations, providing a more intuitive and interactive way to develop machine learning models. This mode improves efficiency and effectiveness in development by eliminating the need to build and run a computational graph separately. Instead, operations are executed as they are called,