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”.

But mobile app development is one of the key growth fields that Python hasn't gained any traction in, despite it dominating in machine learning with libraries like NumPy and Google's 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 ...

TensorFlow is complete enough for Google employees to use it, but it’s not anywhere near a complete product. The TensorFlow website says that while the framework sports an easy to use Python interface ...

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.

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?