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 ...

Begin harnessing the power of Google’s open source machine learning library with InfoWorld's hands-on tutorial ...

Last year, Facebook announced Caffe2Go — a version of Caffe designed for the purpose of running deep learning models on mobile devices. It became the core of Style Transfer, Facebook’s real ...

TensorFlow Lite is an open-source deep learning framework for on-device inference. The new tool is designed to adapt machine learning models to datasets with transfer learning.

TensorFlow remains the ‘workhouse’ of machine learning at Google In an era where large language models (LLMs) are all the rage, Spinelli emphasized that it’s now even more critical than ever ...

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.