This repository is a tutorial for how to use TensorFlow's Object Detection API to train an object detection classifier for tigers on Linux. It was originally done to use on NVIDIA DGX remote server ...
Machine learning couldn’t be hotter, with several heavy hitters offering platforms aimed at seasoned data scientists and newcomers interested in working with neural networks. Among the more popular ...
Popular online learning courses providers Udacity and Deeplearning.ai will launch new training courses to help people use TensorFlow 2.0, which was released in alpha today. The latest version of ...
To run TensorFlow on a single machine, and will train a simple classifier to classify images of flowers. The exact codelab tutorial can be found here. It is very helpful. Using transfer learning, we ...
Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...
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. And ...
TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results