Well, certainly. It’s not like TensorFlow has stood still for all that time. TensorFlow 1.x was all about building static graphs in a very un-Python manner, but with the TensorFlow 2.x line, you ...

“PyTorch and TensorFlow are two of the most popular deep learning frameworks, both widely used for building and training ...

“PyTorch and TensorFlow are two of the most popular deep learning frameworks, both widely used for building and training machine learning models,” says Jad Khalife, Director of Sales ...

The people behind TensorFlow soon took note of this, and adopted many of PyTorch’s most popular features in TensorFlow 2.0. A good rule of thumb is that you can do anything that PyTorch does in ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world ...

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

Graphs: One of the reasons for TensorFlow’s popularity is its graph-based architecture. All operations in TensorFlow are depicted and executed inside a graph, which helps define how data is ...

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 ...

The rise of PyTorch reflects the increased demand for AI technology.Over the last year, postings for AI jobs rose 29.1%, according to a report on job site Indeed.. PyTorch is certainly popular in ...