Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...

TensorFlow Recommenders (TFRS) is an open-source TensorFlow package that simplifies the building, evaluation, and deployment of advanced recommender models. TFRS, which is based on TensorFlow 2. x, ...

Please answer the following questions for yourself before submitting an issue. [Yes, Research Directory. No, TF1.x ] I am using the latest TensorFlow Model Garden release and TensorFlow 2. [Yes, ...

I am trying to do a custom object detection from the following tutorial. Below is the error output for the command !python model_main_tf2.py --model_dir=/content ...

The error message “Could not find a version that satisfies the requirement tensorflow” means that the version of TensorFlow you’re trying to install doesn’t ...

PyTorch or TensorFlow—the debate that forges many clashes and wars between developers. Many reports show that PyTorch has become the preferred choice for developers, instead of TensorFlow, which is ...