Once define a computational graph and excute the same graph repeatedly. Pros: (1) Optimizes the graph upfront and makes better distributed computation. (2) Repeated computation does not cause ...

There is a necessity to address the motivations for this project. TensorFlow is one of the deep learning frameworks available with the largest community. This repository is dedicated to suggesting a ...

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 ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach ...

The growth of IoT brought an explosion of Smart Devices linked to the Cloud, but the network was not yet prepared to handle this spike in demand. Cloud networks were overburdened, and businesses ...