TensorFlow isn’t dead. It’s just not as popular as it once was. The core reason for this is that many people who use Python for machine learning are switching to PyTorch. But Python is not the ...

and is gaining on TensorFlow. PyTorch allows for straightforward debugging using standard Python tools. TensorFlow’s graph-based structure can complicate debugging, but tools like TensorFlow ...

although Python tends to dominate. TensorFlow, which competes with frameworks such as PyTorch and Apache MXNet, can train and run deep neural networks for handwritten digit classification ...

I’ve previously reviewed PyTorch 1.0.1 and compared TensorFlow and PyTorch. I suggest reading the review for an in-depth discussion of PyTorch’s architecture and how the library works.

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 ...