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.

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 ...

While PyTorch excels in research, its deployment tools are less mature than TensorFlow’s, which is often preferred for ...

TensorFlow, which competes with frameworks such as PyTorch and Apache MXNet, can train and run deep neural networks for handwritten digit classification, image recognition, word embeddings ...

“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 ...

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.

Similar wars seem to be flaring up around PyTorch and TensorFlow. Both camps have troves of supporters. And both camps have good arguments to suggest why their favorite deep learning framework ...