--- description: 검증된 사용 후기를 확인하고 TensorFlow 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: TensorFlow 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [기계 학습 소프트웨어](/directory/31103/machine-learning/software) > [TensorFlow](/software/171057/tensorflow) # TensorFlow Canonical: https://www.capterra.co.kr/software/171057/tensorflow Page: 1 / 5\ 다음: [Next page](https://www.capterra.co.kr/software/171057/tensorflow?page=2) > 개발자, 기업 및 연구원이 기계 학습 알고리즘을 구축하고 배포할 수 있게 해주는 오픈 소스 플랫폼입니다. > > Verdict: Rated **4.6/5** by 104 users. Top-rated for **추천 가능성**. ----- ## Overview ### TensorFlow은(는) 누가 사용하나요? 개발자, 기업 및 연구원이 기계 학습 알고리즘 및 모델을 구축하고 배포할 수 있게 해주는 온프레스 및 클라우드 기반의 오픈 소스 플랫폼입니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.6/5** | 104 리뷰 | | 사용 편의성 | 3.9/5 | Based on overall reviews | | 고객 지원 | 4.1/5 | Based on overall reviews | | 비용 대비 가치 | 4.7/5 | Based on overall reviews | | 특징 | 4.6/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 추천 가능성) | ## 공급업체 정보 - **회사**: Google ## 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, Mac(데스크톱), Windows(데스크톱) - **Supported Languages**: 영어 - **Available Countries**: 미국 ## 특징 - 딥 러닝 - 모델 학습 - 예측 모델링 - 워크플로 관리 - 자연어 처리 ## Support Options - 이메일/지원 센터 - FAQ/포럼 - 지식 기반 - 전화 지원 ## Category - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) ## 대안 1. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2282 reviews) 2. [XLSTAT](https://www.capterra.co.kr/software/119448/xlstat) — 4.7/5 (398 reviews) 3. [Datalore](https://www.capterra.co.kr/software/1023000/datalore) — 4.5/5 (8 reviews) 4. [vSphere](https://www.capterra.co.kr/software/93512/vmware-horizon) — 4.7/5 (433 reviews) 5. [Minitab](https://www.capterra.co.kr/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews) ## 리뷰 ### "TensorFlow is useful, although it requires a healthy time commitment to produce accurate models" — 4.0/5 > **Thomas** | *2018년 4월 26일* | Recommendation rating: 7.0/10 > > **장점**: TensorFlow is fascinating in seeing how it produces results in a reasonable time frame. It is completely flexible compared to its costly competitors. The software connects well with various data sources and in setting up scripts to run automatically. > > **단점**: TensorFlow takes a lot of time to become an expert in what it is doing. The programming time-commitment might not be worth it unless you plan on customizing your modeling to work with other software. > > The benefits I received from this software is more accurate modeling and an interesting insight into what makes one software better than another. TensorFlow did for me what it says it does - produce high quality models, such as neural networks, with a lot of human capital input. ----- ### "Relatively Straightforward Deep Learning Framework" — 5.0/5 > **Ben** | *2019년 9월 27일* | 컴퓨터 소프트웨어 | Recommendation rating: 9.0/10 > > **장점**: The 2.0 version is easy to set up and there are a lot of APIs that are integrated for using various programming languages to do the same thing. I personally have been using python with this application and have had very little problems getting going. There are a lot of tutorials on getting started, some good data available for free to assist with the learning process. Everything can be run locally which makes it easy to expand on-site. Cloud options are also affordable. > > **단점**: The learning curve is a bit steep. This isn't specifically an issue because of TensorFlow itself, the idea of neural networks are not simple. TensorFlow has made improvements on 2.0, that make it easier to use compared to previous versions. > > Human pattern recognization, image recognization. Habits and trends. ----- ### "Review of Google Cloud ML Engine" — 3.0/5 > **shushant** | *2021년 1월 9일* | 정보 기술 및 서비스 | Recommendation rating: 7.0/10 > > **장점**: The feature of the Google Cloud ML Engine that I most like is the machine learning features that have been provided by this platform. The ML features of this engine provide SOTA results in every task in machine learning and artificial intelligence. The ML features are very handy and easy to use and integrate in other applications as well. I would recommend everyone to use Google Cloud ML Engine for developing AI systems. > > **단점**: The pricing, when exceeded the free tier of Google Cloud ML platform, is high. The pricing is high compared to other services like Azure Cloud ML platform. > > My overall experience with Google Cloud ML platform was very good. I used it's machine learning services to integrate those in my web applications. ----- ### "A Machine and Deep Learner must have Library" — 5.0/5 > **Scott W.** | *2018년 9월 5일* | 경영 컨설팅 | Recommendation rating: 10.0/10 > > **장점**: This Library is very flexible for doing Matrices and Tensor So building very deep high level but quick and scalable ready to use neural networks is at your finger tips. The added other Anaconda Library and Keras compatibility > > **단점**: Depreciation of the code is frustrating. To use one form just to throw a Error message. ----- ### "Very helpful in the new world of machine learning." — 5.0/5 > **Esra** | *2018년 5월 11일* | Recommendation rating: 9.0/10 > > **장점**: I used TensorFlow on AWS which was easier with all the infrastructure AWS built. It was a good start to machine learning with all the AI and neural network popularity going on these days. It was challenging and exciting to prepare datasets, train them and see the satisfactory results in dashboard. It is also open source and this gives an advantage to TensorFlow. > > **단점**: There is a long and challenging learning period. Documentation is rich but it would be so much better to learn and use it with some visual aids. > > You will learn a lot from TensorFlow. It is a good way of entering the machine learning world. ----- Page: 1 / 5\ 다음: [Next page](https://www.capterra.co.kr/software/171057/tensorflow?page=2) ## Links - [View on Capterra](https://www.capterra.co.kr/software/171057/tensorflow) ## 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 | | | ko | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Structured Data