One day, I set off to create an ML project in Tensorflow; but I soon realized that getting the data in ready would be a huge challenge and also a massive value-add. It's been three years and I'm still working on the data!
However, as the comments here show, the mindshare and community momentum seems to have shifted totally to Torch.
Especially considering that it's transformers everywhere, right now, and there's just so much premade stuff built on top of pytorch, I'd probably stick with that. At least out of pragmatism such as the ease of hiring people with torch experience.
The transparent Numpy experience seems nice, keras was the first thing I ever built real NNs with, all said it's never been bad to me but... to conclude, no.
See: https://survey.stackoverflow.co/2023/#technology
* TensorFlow: 9.53% usage among all devs
* Scikit Learn: 9.43%
* PyTorch: 8.75%