You can use existing models, convert Python TensorFlow models, use transfer learning to retrain existing models with your own data, and develop models from scratch.

In my recent review of TensorFlow, I described the library and discussed its advantages, but only had about 300 words to devote to how to begin using Google’s “secret sauce” for machine ...

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

Besides putting a Raspberry Pi to work on a mini Mars rover, it's now going to be a lot easier to use Google's TensorFlow artificial-intelligence framework with the low-powered computer ...

Posted in Software Development, Software Hacks Tagged Google Inception, inception, neural network, object recognition, tensorflow, training ← Retro Rebuild Recreates SGI Workstation Demos On The Go ...

Keras or TensorFlow? This breakdown shows their differences, use cases, and when to choose each. #KerasVsTensorFlow #MachineLearningTools #AI New Poll Reveals Gavin Newsom’s Approval Rating 11 ...

According to its site, TensorFlow is an open source software library for numerical computation using data flow graphs. For a layman, TensorFlow can be considered as a system that takes ...

The US Defense Department has turned to Google for help analyzing its drone surveillance footage. Specifically, Google is working on a pilot project with the DoD which leverages TensorFlow APIs to ...

Google built the underlying TensorFlow software with the C++ programming language. But in developing applications for this AI engine, coders can use either C++ or Python, the most popular language ...

TensorFlow, PyTorch, Keras, Caffe, Microsoft Cognitive Toolkit, Theano and Apache MXNet are the seven most popular frameworks for developing AI applications.