TensorBoard

TensorBoard

Tensorflow
+
+

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About

Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. Keras is the most used deep learning framework among top-5 winning teams on Kaggle. Because Keras makes it easier to run new experiments, it empowers you to try more ideas than your competition, faster. And this is how you win. Built on top of TensorFlow 2.0, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It's not only possible; it's easy. Take advantage of the full deployment capabilities of the TensorFlow platform. You can export Keras models to JavaScript to run directly in the browser, to TF Lite to run on iOS, Android, and embedded devices. It's also easy to serve Keras models as via a web API.

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 Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers interested in an deep learning API solution to minimize the number of user actions required for common use cases

Audience

Developers looking for a solution to optimize their TensorFlow programs

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5

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

Pros & Cons from Real Users

Pros

  • I mostly code in Python, so using Keras for my deep learning needs wasn't too hard to get used to, given the abundance of documentation and ease of writing modular code with its API.

Cons

  • Keras only has high level APIs, unlike Tensorflow, which has both high and low level support.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

Keras
United States
keras.io

Company Information

Tensorflow
United States
www.tensorflow.org/tensorboard

Alternatives

Alternatives

Visdom

Visdom

Meta
TF-Agents

TF-Agents

Tensorflow

Categories

Deep Learning Supported
Neural Network Supported

Categories

Deep Learning Features

Convolutional Neural Networks Supported
Document Classification Not Supported
Image Segmentation Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Neural Network Modeling Not Supported
Self-Learning Not Supported
Visualization Supported

Integrations

TensorFlow Supported
Akira AI Supported
Comet LLM Supported
Dataiku Supported
Gemma 3 Supported
Gemma 4 Supported
Google Colab Not Supported
Graphcore Supported
Horovod Supported
JAX Supported
Jovian Supported
Lambda Supported
OpenVINO Supported
RazorThink Supported
StreamFlux Supported
TruEra Supported
Unremot Supported
Weights & Biases Supported
neptune.ai Supported

Integrations

TensorFlow Supported
Akira AI Not Supported
Comet LLM Not Supported
Dataiku Not Supported
Gemma 3 Not Supported
Gemma 4 Not Supported
Google Colab Supported
Graphcore Not Supported
Horovod Not Supported
JAX Not Supported
Jovian Not Supported
Lambda Not Supported
OpenVINO Not Supported
RazorThink Not Supported
StreamFlux Not Supported
TruEra Not Supported
Unremot Not Supported
Weights & Biases Not Supported
neptune.ai Not Supported
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