The TensorFlow transfer learning tutorial demonstrates using transfer learning for feature extraction and for fine-tuning. The PyTorch transfer learning tutorial demonstrates the same two ...

If you are adept at Python and remember your high school algebra, you might enjoy [Oliver Holloway’s] tutorial on getting started with Tensorflow in Python.

I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now… ...

Google clearly wants the machine learning community to help build TensorFlow into a more mature tool that can accelerate certain fields of research and development.

With this week's release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions.

TensorFlow 0.8 adds distributed computing support to speed up the learning process for Google's machine learning system.

We hear from Wunderman Thompson’s Cole Peterson about how the agency has come to utilize Google’s open-source TensorFlow software – and about its limitations.

Google today unveiled TensorFlow Quantum for training hybrid quantum-classical algorithms by combining TensorFlow with open source quantum library Cirq.