PyTorch-Transformers is currently used for NLP tasks by more than 1,000 companies, including Microsoft’s Bing, Apple, and Stitch Fix. Use this web app to try out the Hugging Face Transformers ...

TensorFlow is your ally for scalability and production. PyTorch is your friend for research flexibility and ease of use. The choice depends on your project needs, expertise, and long-term goals.

PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model.

PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single dataflow graph, optimizes the graph code for performance, and then trains the model.

This article will discuss the seven popular tools and frameworks used for developing AI applications: TensorFlow, PyTorch, Keras, Caffe, Microsoft Cognitive Toolkit, Theano and Apache MXNet.

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related ...

TensorFlow's eager mode provides an imperative programming environment that evaluates operations immediately, without building graphs. This is similar to PyTorch's eager mode in both advantages ...

If this is what matters most for you, then your choice is probably TensorFlow. A network written in PyTorch is a Dynamic Computational Graph (DCG). It allows you to do any crazy thing you want to do.