--- description: Review of TensorFlow Software: system overview, features, price and cost information. Get free demos and compare to similar programs. image: https://gdm-localsites-assets-gfprod.imgix.net/images/software_advice/og_logo-55146305bbe7b450bea05c18e9be9c9a.png title: TensorFlow | Reviews, Pricing & Demos - SoftwareAdvice AU --- Breadcrumb: [Home](/) > [Machine Learning Software](/directory/4358/machine-learning/software) > [TensorFlow](/software/189658/tensorflow) # TensorFlow Canonical: https://www.softwareadvice.com.au/software/189658/tensorflow Page: 1 / 5\ Next: [Next page](https://www.softwareadvice.com.au/software/189658/tensorflow?page=2) > TensorFlow is an open-source software library for numerical computation using data flow graphs. The technology can be applied to many use cases, from computer vision, natural language processing, and medical image analysis to robotics and game AI. > > Verdict: Rated **4.6/5** by 104 users. Top-rated for **Likelihood to recommend**. ----- ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.6/5** | 104 Reviews | | Ease of Use | 3.9/5 | Based on overall reviews | | Customer Support | 4.1/5 | Based on overall reviews | | Value for Money | 4.7/5 | Based on overall reviews | | Features | 4.6/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Google ## Commercial Context - **Pricing Details**: Contact TensorFlow for pricing details. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based, Mac (Desktop), Windows (Desktop) - **Supported Languages**: English - **Available Countries**: United States ## Features - API - Configurable Workflow - Deep Learning - Model Training - Natural Language Processing - Predictive Modeling - Workflow Management ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support ## Category - [Machine Learning Software](https://www.softwareadvice.com.au/directory/4358/machine-learning/software) ## Alternatives 1. 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Also, it has lots of prebuilt function which ease the implementation of neural network. > > **Cons**: There is no bad thing about this but initially it takes lot of time to understand it as it works on tensors instead of simple vector or array object. But once you learn this, it will be easy to write code. > > Building machine learning model from scratch and want full power of customisation then choose this tool. ----- ### "Made the deep learning kids work" — 5.0/5 > **Shalinee** | *11 July 2018* | Recommendation rating: 9.0/10 > > **Pros**: This library is the best for deep learning. Designing neural network with this library is very easy. Also, it compute things very fast. It has made the visualization very easy. It has lots of built in features like conv2d network, lstm etc. > > **Cons**: It's the best thing to do stuff in deep learning but it require a long learning curve. But once you know how it works then it made your job very easy. > > Best library for deep learning ----- ### "Overhyped application" — 2.0/5 > **Verified Reviewer** | *3 December 2018* | Financial Services | Recommendation rating: 2.0/10 > > **Pros**: Tensorflow is a good library for machine learning, but only for more experienced developpers. > > **Cons**: It is very hyped by the community, but has a teap learning curve and is hard to learn. So the app is not beginner friendly, but also is't the best library for high level machine learning. > > I use tensorflow for machine learning apps to find correlations in the market, but the app has let me down and I have since moved on to other libraries, as tensorFlow was simply to difficult to use. ----- ### "Deep learning is easy with TensorFlow" — 5.0/5 > **Kevin** | *7 September 2018* | Internet | Recommendation rating: 9.0/10 > > **Pros**: Intuitive way to generate networks. Nice visualizations with tensorboard. Good documentation and tutorials. Large supportive community. Easily scaleable. > > **Cons**: Many of the error messages can be cryptic and difficult to use when debugging. Frequent errors caused by data type mismatches. It is not easy to iterate quickly with Tensor flow. > > We use tensorflow LSTMs for sequence classification to mine patterns in log and customer behavior. In our use case, deep models decreased testing loss by 50% over a simple baseline. ----- ### "Powerful tool for machine learning, AI or data science researchers" — 5.0/5 > **Sheikh** | *30 September 2019* | Electrical/Electronic Manufacturing | Recommendation rating: 9.0/10 > > **Pros**: GPU utilization helps the projects. TensorBoard is good for model visualization and performance analytics. > > **Cons**: Still requires specific hardware for specific versions. Compatibility with multiprocessing module is low, making it incompatible to combine with parts of codes running on CPU if multiprocessing is required. > > The depth of resources this tool provides makes it inseparable for a researcher of many sectors, at this era of AI. ----- Page: 1 / 5\ Next: [Next page](https://www.softwareadvice.com.au/software/189658/tensorflow?page=2) ## Links - [View on SoftwareAdvice](https://www.softwareadvice.com.au/software/189658/tensorflow) ## This page is available in the following languages | Locale | URL | | en | | | en-AU | | | en-GB | | | en-IE | | | en-NZ | | ----- ## Structured Data