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 a ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

While you can train simple neural networks with relatively small amounts of training data with TensorFlow, for deep neural networks with large training datasets you really need to use CUDA-capable ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Social scientists are increasingly adopting machine learning methods to analyze ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

In this video from the 2019 OpenFabrics Workshop in Austin, Xiaoyi Lu from Ohio State University presents: Accelerating TensorFlow with RDMA for High-Performance Deep Learning. Google’s TensorFlow is ...