TensorBoard

TensorBoard

Tensorflow
+
+

Related Products

  • Vertex AI
    726 Ratings
    Visit Website
  • Tai TMS
    160 Ratings
    Visit Website
  • SocialLadder
    20 Ratings
    Visit Website
  • Hoxhunt
    4,730 Ratings
    Visit Website
  • Total ETO
    44 Ratings
    Visit Website
  • DashboardFox
    5 Ratings
    Visit Website
  • BytePlus Recommend
    1 Rating
    Visit Website
  • Pipeliner CRM
    735 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • Visual Planning
    85 Ratings
    Visit Website

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.

About

The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications.

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

Developers looking for a solution to optimize their TensorFlow programs

Audience

Data scientists and machine learning engineers seeking a tool to optimize their natural language processing models with robust sentence embeddings

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

Free
Free Version
Free Trial

Pricing

No information available.
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

Tensorflow
United States
www.tensorflow.org/tensorboard

Company Information

Tensorflow
Founded: 2015
United States
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder

Alternatives

Visdom

Visdom

Meta

Alternatives

word2vec

word2vec

Google
Keepsake

Keepsake

Replicate
Exa

Exa

Exa.ai
txtai

txtai

NeuML

Categories

Categories

Integrations

Google Colab
TensorFlow
Dataoorts GPU Cloud
GitHub
Intel Tiber AI Studio
LLaMA-Factory
Ludwig

Integrations

Google Colab
TensorFlow
Dataoorts GPU Cloud
GitHub
Intel Tiber AI Studio
LLaMA-Factory
Ludwig
Claim TensorBoard and update features and information
Claim TensorBoard and update features and information
Claim Universal Sentence Encoder and update features and information
Claim Universal Sentence Encoder and update features and information