--- description: Get detailed information about Keras usability, features, price, benefits and disadvantages from verified user experiences. Read reviews and discover similar tools on Capterra Israel. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Keras Price, Reviews & Ratings - Capterra Israel 2026 --- Breadcrumb: [Home](/) > [Deep Learning Software](/directory/31104/deep-learning/software) > [Keras](/software/171047/keras) # Keras Canonical: https://www.capterra.co.il/software/171047/keras Page: 1 / 3\ Next: [Next page](https://www.capterra.co.il/software/171047/keras?page=2) > API tool which provides an open source neural network library through recurrent and convolutional networks. > > Verdict: Rated **4.6/5** by 40 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses Keras? Deep learning solution for any individual interested in machine learning with features such as modularity, neural layers, module extensibility, and Python coding support. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.6/5** | 40 Reviews | | Ease of Use | 4.5/5 | Based on overall reviews | | Customer Support Software | 4.2/5 | Based on overall reviews | | Value for Money | 4.5/5 | Based on overall reviews | | Features | 4.3/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Keras ## Commercial Context - **Pricing model**: Per Feature - **Pricing Details**: Contact Keras for pricing details. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based, Android (Mobile), iPhone (Mobile), iPad (Mobile) - **Supported Languages**: English - **Available Countries**: United States ## Features - API - Artificial Neural Networks - Model Training - Visualization ## Category - [Deep Learning Software](https://www.capterra.co.il/directory/31104/deep-learning/software) ## Alternatives 1. 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[Valohai](https://www.capterra.co.il/software/179657/valohai) — 4.8/5 (8 reviews) ## Reviews ### "Great Deeplearning framework" — 4.0/5 > **Boluwatife** | *16 July 2019* | Banking | Recommendation rating: 8.0/10 > > **Pros**: What i love most about keras is it's wrapper functions, i use it to perform Gridsearch using scikitlearn and this is amazing as i cannot do this on other frameworks. keras also has a good documentation page with lots of pretrained CNN architectures for image classifications solutions. > > **Cons**: Nothing to dislike about this framework yet. > > i use keras for image classification making use of it's pretrained architectures especially the resnet architectures. ----- ### "Keras for deep learning" — 5.0/5 > **Youssef** | *27 May 2022* | Computer Software | Recommendation rating: 9.0/10 > > **Pros**: easy to use, large communities and support > > **Cons**: keras has many predefined methods and functions but it is difficult to integrate a custom class. > > I did many deep learning projects using keras it is really helpful ----- ### "Keras for school project" — 3.0/5 > **Verified Reviewer** | *12 April 2019* | Higher Education Software | Recommendation rating: 6.0/10 > > **Pros**: I did use this library couple of times during the semester to solve my deep learning course home works and project. compared to tensor flow it was easier for me to use > > **Cons**: It was not still easy to use and well documented with examples ----- ### "What you need definitely to start your deep learning experiments" — 5.0/5 > **Waleed** | *25 July 2019* | Education Management | Recommendation rating: 10.0/10 > > **Pros**: Keras is the only platform that runs on top of most popular backends like TensorFlow, pyTorch and Microsoft Cogntitive Toolkit. This gives great flexibility to researchers to try their network architecture with minimal changes across multiple libraries mentioned. The sequencing modularity is what makes you build sophisticated network with improved code readability . > > **Cons**: If you encounter an error, it is hard to be debugged. > > I would defintely recommend it as the quickest step to start testing your model. ----- ### "A Game-Changer in Deep Learning" — 4.0/5 > **Dvock** | *21 June 2023* | Information Technology & Services | Recommendation rating: 9.0/10 > > **Pros**: One of the standout features of Keras is its user-friendly and intuitive API. It offers a high-level abstraction, making it incredibly easy to build and experiment with neural networks. Keras provides an excellent and intuitive experience, allowing me to focus on the core aspects of my models rather than getting pushed down by low-level implementation details. The versatility of Keras is another aspect that sets it apart. It supports both CPU and GPU computations, making it adaptable to various computing environments. Additionally, Keras seamlessly integrates with popular deep learning backends such as TensorFlow and Theano, providing access to an extensive collection of pre-trained models and advanced functionalities. > > **Cons**: The only issue is lack of flexibility: Keras prioritizes ease of use and abstraction, which can sometimes come at the cost of flexibility. For researchers or practitioners who require fine-grained control over every aspect of their models, Keras may feel restrictive. Certain advanced customization options and low-level operations may not be as easily accessible within the high-level API. > > In general, Keras has established itself as a go-to deep learning library for me as a beginner. Its user-friendly API, versatility, extensive documentation, strong community support, performance optimization, and modularity make it a standout choice in the field of deep learning. ----- Page: 1 / 3\ Next: [Next page](https://www.capterra.co.il/software/171047/keras?page=2) ## Links - [View on Capterra](https://www.capterra.co.il/software/171047/keras) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Structured Data