If you actually need a deep learning model, PyTorch and TensorFlow are both good choices ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

Other optimizations to TensorFlow components resulted in significant CPU performance gains for various deep learning models. Using the Intel MKL imalloc routine, both TensorFlow and the Intel MKL-DNN ...

Caffe, CNTK, DeepLearning4j, Keras, MXNet, and TensorFlow are deep learning frameworks. Scikit-learn and Spark MLlib are machine learning frameworks. Theano straddles both categories.

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

TensorFlow was originally a deep learning research project of the Google Brain Team that has since become–by way of collaboration with 50 teams at Google–an open source library deployed across ...

Google announced yesterday that its Deep Learning algorithm, TensorFlow, has been open-sourced. According to Google, this is the second generation machine learning algorithm, with the first one ...

Xiaoyi Lu from Ohio State University gave this talk at the 2019 OpenFabrics Workshop in Austin. "Google's TensorFlow is one of the most popular Deep Learning (DL) frameworks. We propose a unified way ...