Accelerate the ML product cycle with the Visual Blocks visual programming framework, explore the TF 2.14 release, and more.

Announcing an experimental API that enables distributed training of fast Fourier transforms (FFTs) with DTensor.

Discover new Apple Silicon (M1) builds, default save to Keras V3, changes to tf.lite and tf.data, and more in the TF 2.13 release.