--- description: 검증된 사용 후기를 확인하고 PaperEntry 사용성, 특징, 가격, 장점과 단점에 대한 자세한 정보를 확인해보세요! 비슷한 경쟁 제품도 확인이 가능합니다. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: PaperEntry 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [인공 지능 소프트웨어](/directory/30938/artificial-intelligence/software) > [PaperEntry](/software/173780/paperentry) # PaperEntry Canonical: https://www.capterra.co.kr/software/173780/paperentry Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/173780/paperentry?page=2) > AI를 만들고 배포하기 위한 솔루션입니다. 끌어서 놓기 인터페이스를 사용하여 딥 러닝 모델을 쉽게 설계할 수 있습니다. > > Verdict: Rated **5.0/5** by 7 users. Top-rated for **추천 가능성**. ----- ## Overview ### PaperEntry은(는) 누가 사용하나요? 사전 학습된 모델, 코드 IDE, 비디오 편집기로 엔지니어, 개발자 및 연구원을 도와주는 AI 배포 및 개발 플랫폼입니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **5.0/5** | 7 리뷰 | | 사용 편의성 | 4.7/5 | Based on overall reviews | | 고객 지원 | 5.0/5 | Based on overall reviews | | 비용 대비 가치 | 5.0/5 | Based on overall reviews | | 특징 | 4.9/5 | Based on overall reviews | | Recommendation percentage | 100% | (10/10 추천 가능성) | ## 공급업체 정보 - **회사**: Deep Cognition ## Commercial Context - **Target Audience**: 자영업, 2~10, 11~50, 51~200, 201~500, 501~1,000, 1,001~5,000, 5,001~10,000, 10,000+ - **Deployment & Platforms**: 클라우드, SaaS, 웹 기반 - **Supported Languages**: 영어 - **Available Countries**: 미국 ## 특징 - 모델 학습 - 시각화 - 예측 분석 ## Support Options - 이메일/지원 센터 - 전화 지원 ## Category - [인공 지능 소프트웨어](https://www.capterra.co.kr/directory/30938/artificial-intelligence/software) ## 관련 범주 - [인공 지능 소프트웨어](https://www.capterra.co.kr/directory/30938/artificial-intelligence/software) - [딥 러닝 소프트웨어](https://www.capterra.co.kr/directory/31104/deep-learning/software) ## 대안 1. [DataRobot](https://www.capterra.co.kr/software/179303/datarobot) — 4.8/5 (5 reviews) 2. [Asana](https://www.capterra.co.kr/software/120550/asana-pm) — 4.5/5 (13547 reviews) ## 리뷰 ### "Deep Cognition is my go to AI tool when I have to implement models that need to be put in production" — 5.0/5 > **Viswanath** | *2018년 6월 25일* | Recommendation rating: 10.0/10 > > **장점**: It lets me focus on the Neural Network architectures instead of worrying about low level code details. Their AutoML feature is handy when I have to see what the leading Neural Network architecture for the specific problem is. I also teach Deep Cognition in our Data Science program after making the students go through basics using Tensorflow and Keras. We teach neural networks along side with traditional ML so that students can compare and contrast models and features. For more information, please visit https://divergenceacademy.com/ > > **단점**: This is an upcoming product. Their user base is growing rapidly. It is yet to reach a tipping point for mass enterprise adoption. This is not a Con. I'm sure it will happen. > > Easy of use. Less head ache configuring GPU drivers and debugging low level code. ----- ### "Great software\! One of the easiest ways to create your own custom neural learning algorithm." — 5.0/5 > **Ryo** | *2018년 6월 25일* | Recommendation rating: 10.0/10 > > **장점**: You can drag and drop neural network layers and make your custom algorithm. This makes it very iterate many different algorithms, and speeds up the research process. > > **단점**: Uploading data is a hassle. Wish I could just specify the folder where the images are, instead of creating a csv file. ----- ### "Incredibly versatile model training tech." — 5.0/5 > **Nicolás** | *2020년 1월 17일* | 정보 기술 및 서비스 | Recommendation rating: 9.0/10 > > **장점**: Flexibility to use web version if you do not own a powerful enought computer. Desktop version is free to use if you don't want to or can't upload datasets. Model creation can be done either through code or the GUI and are exportable. > > **단점**: If you opt for the desktop version, be prepared for a long installation process (might take up to an hour). This tech is GPU intensive, if you don't have a decent one you won't be able to take advantage of this solution. > > It's simple to use and the flexibility to use either web or desktop versions of it allows for accessibility to all that want to try it. ----- ### "It's a great platform for developing enterprise Deep Learning models without a single line of code\!" — 5.0/5 > **Román Josué** | *2018년 6월 26일* | 컴퓨터 소프트웨어 | Recommendation rating: 10.0/10 > > **장점**: This is a great platform, which will surely help in the goal of simplifying and democratizing AI\! I like that you have the freedom of using the Deep Learning Studio Cloud version or run the desktop version on your local machine. > > **단점**: If you are a Mac user, you only have the choice of running the cloud version. This is a drawback for Mac users which would like to try the desktop version. > > Fast development of a deep learning model using minimal or zero code while having full flexibility to customize the architecture of the network and hyperparameters. ----- ### "The best desktop app in I.A" — 5.0/5 > **Joshue** | *2018년 6월 26일* > > **장점**: Multilayers in development, python console incorporated, and other functions. Is very instinctive, I don't see another app with a good interface for the casual user that is begging in the A.I world. > > **단점**: Only few incorporated Recognition of images for import , i wish syncronize with V-REP simulation for robotic in a tunnel. ----- Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/173780/paperentry?page=2) ## Links - [View on Capterra](https://www.capterra.co.kr/software/173780/paperentry) ## This page is available in the following languages | Locale | URL | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | ko | | ----- ## Structured Data