What is the difference between trax vs tensorflow? What is the main difference between trax vs tensorflow?
both of them deep learning library and implemented by google team.
https://github.com/google/trax
https://github.com/tensorflow/tensorflow
Trax is a high-level interface to make it easy to apply existing models (like ResNet, LSTM, Transformer). Trax focuses almost exclusively on deep learning.
TensorFlow is a data flow computational framework that can be applied to a wide variety of problems. TensorFlow allows fine grain control over every step in the modeling process. TensorFlow is often used for deep learning, but given its flexibility it can be used for any numerical computation.