Deep-learning research, which can be useful for some predictive modelling work, is made possible in Python through libraries such as “Keras”, “PyTorch” and “TensorFlow”.

Overview Python continues to dominate as the most popular coding language for AI development.Emerging AI development languages like Julia and R are gaining trac ...

Still not sure why TensorFlow is everywhere? Learn what makes it a top choice for AI projects. #TensorFlow #AIFramework #DeepLearning #TensorFlow #MachineLearning #DeepLearning #AI # ...

Coding may seem like entering into a new world altogether. There are just tons of languages to choose from, so being fogged ...

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.

Google last week open sourced TensorFlow, a new machine learning library used in deep learning projects. Even though the Web giant has just started using the software in its products, it apparently ...

TensorFlow has been developed within Google for its own uses, though it is now to shared within an Open Source community. Why Is TensorFlow Open Sourced?

For a layman, TensorFlow can be considered as a system that takes heterogeneous data (as input) and subject it to mathematical computation to produce an output, i.e., a set of software libraries.