Audience

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

About Keras

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.

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Integrations

API:
Yes, Keras offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
More Reviews for Keras Write a Review

Company Information

Keras
United States
keras.io

Videos and Screen Captures

Keras Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
iPhone
iPad
Android
Training
Documentation
Support
Online

Keras Frequently Asked Questions

Q: What kinds of users and organization types does Keras work with?
Keras works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Keras support in their product?
Keras supports these languages: English.
Q: What kind of support options does Keras offer?
Keras offers support via online.
Q: What other applications or services does Keras integrate with?
Keras integrates with: BentoML, Comet, Dataiku, Gradient, Jovian, Lambda, MLflow, MLReef, neptune.ai, Polyaxon, Radicalbit, RazorThink, Spell, StreamFlux, Superwise, TensorFlow, teX.ai, TruEra, Vectice, Weights & Biases, Zepl, and Zorro and more.
Q: Does Keras have an API?
Yes, Keras has an API.
Q: Does Keras have a mobile app?
Yes, Keras has a mobile app for iPhone, Android, and iPad.
Q: What type of training does Keras provide?
Keras provides training in the form of documentation.

Keras Product Features

Deep Learning

Convolutional Neural Networks Supported
Visualization 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

Keras Verified User Reviews

Write a Review
  • A Keras User
    Researcher
    Used the software for: Less than 6 months
    Frequency of Use: Weekly
    User Role: User
    Company Size: 26 - 99
    Probability You Would Recommend? 8 out of 10

    "Easy to use for Python developers"

    5 out of 5 stars Posted 2020-08-08

    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.

    Overall: If you don't have too much time to really get the hang of using Tensorflow and are already a decent Python developer, Keras is a pretty good option to examine. It's a wrapper for Tensorflow so you get most of the benefits.

    Read More...
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