Any model developed when deployed is expected to perform better for different conditions and varying data characteristics. Mostly used flexible machine learning and deep learning models will not have ...

Having said all that, TensorFlow is a dependable framework and is host to an extensive ecosystem for deep learning. ... The big data platform that crushed Hadoop. Apr 3, 2024 11 mins.

An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow ...

In this code, we designed an improved training framework for an inverter-based memristive neuromorphic hardware that is more research community friendly. Utilizing industry-standard TensorFlow tools, ...

In this paper, we propose to develop prototypes of data flow diagrams using a logical framework, which is based on an extension of logic programming to perform abductive reasoning (abductive logic ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Universal solutions are not always convenient, especially in construction and engineering practice. Therefore, the objective was set to create a program for autogenerating program code using a simple ...