What’s new in TensorFlow 2.4?

By tensorflow - 2020-12-14

Description

TensorFlow 2.4 is here! With increased support for distributed training and mixed precision, and tools for monitoring and diagnosing bottlenecks, this

Summary

  • December 14, 2020 — Posted by Goldie Gadde and Nikita Namjoshi for the TensorFlow Team TF 2.4 is here!
  • These changes are intended to make both Model.fit and custom training loops more agnostic to optimizer details, allowing you to write training code that works with any optimizer without modification.
  • In 2.4 you can now profile MultiWorkerMirroredStrategy training jobs.
  • After profiling, you can use the new Pod Viewer tool to choose a training step and view its step-time category breakdown across all workers.

 

Topics

  1. Management (0.13)
  2. Frontend (0.1)
  3. Machine_Learning (0.09)

Similar Articles

Introducing spaCy v3.0 nightly

By Explosion - 2020-10-15

spaCy v3.0 is going to be a huge release! It features new transformer-based pipelines that get spaCy's accuracy right up to the current state-of-the-art, and a new workflow system to help you take pro ...

K-fold Cross Validation with PyTorch

By MachineCurve - 2021-02-02

Explanations and code examples showing you how to use K-fold Cross Validation for Machine Learning model evaluation/testing with PyTorch.

timoschick/pet

By GitHub - 2020-10-01

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference" - timoschick/pet