This release optimises oneDNN performance, expands tf.function features, and improves data handling in tf.data. TensorFlow Lite and Keras also receive updates, making the platform more efficient and user-friendly for machine learning tasks.
ExecuTorch is a practical choice for broad model compatibility or Android device support
Update include an installation method for Linux that installs necessary Nvidia CUDA libraries
In 2022, the team had released three versions – 2.8, 2.9, 2.10 and 2.11. For 2023, we already have the second update with the earlier one being released in March.
Major improvements have been made to Keras as well.
TensorFlow reaches far beyond Python and that is what is keeping it alive—for now.
The combination of Rust and TensorFlow together is potent because of how easily it can design and train custom models using the bindings available in the toolkit.
With this advancement, users can now run the audio transcription and translation in just a few lines of code
TensorFlow’s team is now introducing Decision Forests 1.0 with the latest release
Preprocessing prevents from overfitting
The observed data is forecasted using Bayesian Neural Networks
XLA is a compiler used to accelerate training time of Tensorflow models and reduce memory consumption.
© Analytics India Magazine Pvt Ltd & AIM Media House LLC 2023
The Belamy, our weekly Newsletter is a rage. Just enter your email below.