Skip to main content
deleted 1 character in body
Source Link
Brian Spiering
  • 22.3k
  • 2
  • 28
  • 113

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 applyapplied to a wide variety of problems. TensorFlow allows fine grain control over every step in the modeling processingprocess. TensorFlow can beis often used for deep learning, but given its flexibility it can be used for any numerical computation.

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 apply to a wide variety of problems. TensorFlow allows fine grain control over every step in the modeling processing. TensorFlow can be used for deep learning, but given its flexibility it can be used for any numerical computation.

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.

Source Link
Brian Spiering
  • 22.3k
  • 2
  • 28
  • 113

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 apply to a wide variety of problems. TensorFlow allows fine grain control over every step in the modeling processing. TensorFlow can be used for deep learning, but given its flexibility it can be used for any numerical computation.