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 ...

Google LLC today announced a new tool called TensorFlow Lite Model Maker, which uses a technique known as transfer learning to adapt machine learning models to custom data sets. TensorFlow Lite is ...

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 ...

Google enhances TensorFlow with deep learning capabilities and parallelism techniques for developer choice in machine language tooling.

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.

Explaining how to get up to speed with your TensorFlow Lite kit. Check out the 10 minute tutorial video below or jump over to the official Adafruit online resource centre for more details.

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

Google's TensorFlow team released TensorFlow Lattice today to help developers ensure that their machine learning models adhere to global trends even when training data is noisy. Lattice draws from ...