Tag Archive for: new features

What’s new in TensorFlow 2.10?

tensorflow 2.10tensorflow 2.10
  • Keras attention layers now have expanded, unified mask support
  • Deterministic and Stateless Keras initializers
  • “Backup And Restore” checkpoints with step-level granularity
  • Easily generate an audio classification dataset from a directory of audio files
  • The Einsum Dense layer is no longer experimental
  • Performance and collaborations
    • Expanded GPU support on Windows
    • Improved aarch64 CPU performance: ACL/oneDNN integration
  • New features in tf.data
    • Create tf.data Dataset from lists of elements
    • Sharing tf.data service with concurrent trainers
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