TDB

What it is

TensorDebugger (TDB) is a visual debugger designed to help developers debug and visualize their deep learning models built with TensorFlow. It provides interactive, node-by-node debugging capabilities that enhance the development process of complex neural networks.

TDB stands out by offering an interactive, visual approach to debugging TensorFlow models, making it easier for developers to pinpoint and resolve issues within complex neural networks.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited support for TensorFlow versions beyond 2.x

   Documentation and community support are primarily focused on TensorFlow 2.x, with minimal updates for newer releases

2. 02

   Performance overhead when debugging large models

   Interactive node-by-node debugging can significantly slow down the execution of large deep learning models

What it does well

• Interactive node-by-node debugging

• Visualization of deep learning models

• Integration with TensorFlow

• Open-source and freely available

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.