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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

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

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 Not Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android 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

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

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 Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

No information available.
Free Version Not 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:

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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 Supported
Live Online Not Supported
In Person Not Supported

Company Information

Keras
United States
keras.io

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

Alternatives

Core ML

Core ML

Apple
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Deep Learning Supported
Neural Network Supported

Categories

AI Development Supported
Machine Learning Supported
Neural Network Supported

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

Amazon SageMaker Debugger Supported
Cameralyze Supported
Cleanlab Supported
Comet Supported
Comet LLM Supported
Database Mart Supported
Flower Supported
GPUEater Supported
Gemma 4 Supported
Google AI Edge Supported
Gradient Supported
Graphcore Supported
Guild AI Supported
ModelOp Supported
OpenVINO Supported
PaliGemma 2 Supported
Superwise Supported
Thunder Compute Supported

Integrations

Amazon SageMaker Debugger Supported
Cameralyze Supported
Cleanlab Supported
Comet Supported
Comet LLM Supported
Database Mart Supported
Flower Supported
GPUEater Supported
Gemma 4 Supported
Google AI Edge Supported
Gradient Supported
Graphcore Supported
Guild AI Supported
ModelOp Supported
OpenVINO Supported
PaliGemma 2 Supported
Superwise Supported
Thunder Compute Supported
Claim Keras and update features and information
Claim Keras and update features and information
Claim PyTorch and update features and information
Claim PyTorch and update features and information