- Published on November 5, 2021
- In AI Features
TensorFlow 2.7.0 Released: All Major Updates & Features
In the previous version, TensorFlow error stack traces involved many internal frames, which could be challenging to read through.
- By Amit Naik
Google launched the upgraded version of TensorFlow (TF) today. The new upgrade, version 2.7.0, comes with several new and improved features like improved debugging experience, public convolution, data service auto-sharding, and more.
https://twitter.com/fchollet/status/1456393128756191233
This article will showcase some of the major updates and features of TensorFlow 2.7.0.
Improved TensorFlow Debugging Experience
In the previous version, TensorFlow error stack traces involved many internal frames, which could be challenging to read through and not be actionable for end users. In the latest version, TensorFlow filters internal frames in most errors, thereby keeping stack traces short, readable, and focused on actionable information for end-users.
This beh
📣 Want to advertise in AIM? Book here
Amit Naik
Amit Raja Naik, known as the 'AI Human,' serves as the editor at AIM Media House, where he leads a team of talented tech journalists who are driving and shaping technology conversations across India and around the world.
Related Posts
Fighting Deepfakes May Not Be a Technology Problem
Defenders must be active at all times, while attackers need only one opportunity.
India’s Data Centre Expansion Is Decentralising
Without compute buildup beyond metros, the next wave of digital adoption will be constrained
How Mumbai Keeps Winning India’s Data-Centre Race
Land prices are among the highest in the country, but total build economics remain competitive by global standards.
From Shortages to Scale, io.net’s Approach to Rewriting AI Compute Access
A decentralised GPU marketplace may scale AI compute faster than traditional clouds, as GPU demand towers over supply
Why Deloitte Built a Tax AI That Knows When to Say ‘I Don’t Know’
The company has launched an agentic AI platform for tax research that’s targeting something radical in a conservative profession.
Can India’s AI Copyright Plan Survive Legal and Technical Scrutiny?
India’s ambitious proposal for a single mandatory AI training licence faces feasibility, legal and innovation concerns.
2026 Could be India’s Year in AI, But Only the Resilient Will Survive
“This isn’t a freeze. It’s a filter… By 2026, the real signal will be resilience, not rhetoric.”
Enterprises Won’t Choose Sovereign Models For Patriotism’s Sake
The first set of sovereign models is aimed at Indic languages and national datasets. Their value lies in cultural nuance.
Download the easiest way to
stay informed
stay informed
