TensorBoard

TensorBoard

Tensorflow
+
+

Related Products

  • Vertex AI
    944 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • RunPod
    205 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    375 Ratings
    Visit Website
  • Mentornity
    99 Ratings
    Visit Website
  • QuantaStor
    6 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • Chainguard
    49 Ratings
    Visit Website
  • Epicor Kinetic
    512 Ratings
    Visit Website

About

Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes. The FfDL platform uses a microservices architecture to reduce coupling between components, keep each component simple and as stateless as possible, isolate component failures, and allow each component to be developed, tested, deployed, scaled, and upgraded independently. Leveraging the power of Kubernetes, FfDL provides a scalable, resilient, and fault-tolerant deep-learning framework. The platform uses a distribution and orchestration layer that facilitates learning from a large amount of data in a reasonable amount of time across compute nodes.

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

Neural networks experts looking for a solution to run deep-learning frameworks as a service on Kubernetes

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

No information available.
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

IBM
Founded: 1911
United States
developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/

Company Information

Tensorflow
United States
www.tensorflow.org/tensorboard

Alternatives

Alternatives

Visdom

Visdom

Meta
Keepsake

Keepsake

Replicate
TF-Agents

TF-Agents

Tensorflow

Categories

Categories

Integrations

TensorFlow
Caffe
Dataoorts GPU Cloud
GitHub
Google Colab
Kubernetes
LLaMA-Factory
Ludwig
PyTorch
Torch

Integrations

TensorFlow
Caffe
Dataoorts GPU Cloud
GitHub
Google Colab
Kubernetes
LLaMA-Factory
Ludwig
PyTorch
Torch
Claim Fabric for Deep Learning (FfDL) and update features and information
Claim Fabric for Deep Learning (FfDL) and update features and information
Claim TensorBoard and update features and information
Claim TensorBoard and update features and information