TensorBoard

TensorBoard

Tensorflow
+
+

Related Products

  • Vertex AI
    727 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Teradata VantageCloud
    975 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,851 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • LM-Kit.NET
    21 Ratings
    Visit Website
  • RunPod
    167 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    378 Ratings
    Visit Website
  • Alation
    271 Ratings
    Visit Website

About

Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.

About

TensorBoard is TensorFlow's comprehensive visualization toolkit designed to facilitate machine learning experimentation. It enables users to track and visualize metrics such as loss and accuracy, visualize the model graph (operations and layers), view histograms of weights, biases, or other tensors as they change over time, project embeddings to a lower-dimensional space, and display images, text, and audio data. Additionally, TensorBoard offers profiling capabilities to optimize TensorFlow programs. These features collectively provide a suite of tools to understand, debug, and optimize TensorFlow programs, enhancing the machine learning workflow. In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics, visualizing the model graph, and projecting embeddings to a lower dimensional space.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world application

Audience

Developers looking for a solution to optimize their TensorFlow programs

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$179 per user per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Comet
Founded: 2017
United States
www.comet.com

Company Information

Tensorflow
United States
www.tensorflow.org/tensorboard

Alternatives

Alternatives

Visdom

Visdom

Meta
Vertex AI

Vertex AI

Google
Keepsake

Keepsake

Replicate

Categories

Categories

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

Ludwig
TensorFlow
Amazon Web Services (AWS)
Apache Spark
Axolotl
CogniSync
Dataoorts GPU Cloud
Flask
GitHub
Google Cloud Platform
IBM Cloud
Intel Tiber AI Studio
Keras
LLaMA-Factory
Microsoft Azure
New Relic
Plotly Dash
PyTorch
ZenML
lemwarm

Integrations

Ludwig
TensorFlow
Amazon Web Services (AWS)
Apache Spark
Axolotl
CogniSync
Dataoorts GPU Cloud
Flask
GitHub
Google Cloud Platform
IBM Cloud
Intel Tiber AI Studio
Keras
LLaMA-Factory
Microsoft Azure
New Relic
Plotly Dash
PyTorch
ZenML
lemwarm
Claim Comet and update features and information
Claim Comet and update features and information
Claim TensorBoard and update features and information
Claim TensorBoard and update features and information