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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

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

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 Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises 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

Organizations interested in a powerful open source machine learning platform

Support

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

Support

Phone Support Not 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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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.

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

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 Not Supported

Company Information

Keras
United States
keras.io

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Alternatives

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

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported

Integrations

Akira AI Supported
BentoML Supported
Cleanlab Supported
Comet Supported
Comet LLM Supported
Databricks Supported
Dragonfly 3D World Supported
Flower Supported
GPUEater Supported
Gradient Supported
Guild AI Supported
Horovod Supported
Jovian Supported
ModelOp Supported
OpenVINO Supported
Radicalbit Supported
RazorThink Supported
Weights & Biases Supported
neptune.ai Supported
teX.ai Supported

Integrations

Akira AI Supported
BentoML Supported
Cleanlab Supported
Comet Supported
Comet LLM Supported
Databricks Supported
Dragonfly 3D World Supported
Flower Supported
GPUEater Supported
Gradient Supported
Guild AI Supported
Horovod Supported
Jovian Supported
ModelOp Supported
OpenVINO Supported
Radicalbit Supported
RazorThink Supported
Weights & Biases Supported
neptune.ai Supported
teX.ai Supported
Claim Keras and update features and information
Claim Keras and update features and information
Claim TensorFlow and update features and information
Claim TensorFlow and update features and information