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The software houses a comprehensive library of open source ML techniques and algorithms. It makes it easy for businesses to conduct data analysis and build advanced AI-powered applications. DataRobotĭataRobot is an enterprise-level machine learning platform that uses algorithms to analyze and understand various machine learning models to help with informed decision-making. I’ve highlighted the unique features, benefits, and use cases of each one to help you select the best deep learning solution for your particular needs. But lucky for you, I’ve done all the heavy lifting.īelow are the best TensorFlow alternatives you can use.
As a result, it’s important to consider other alternatives that won’t carve a huge hole in your business’ account.įinding the perfect alternative to TensorFlow could be a tough exercise. The programming language you use and the kind of neural networks you intend to develop might not pair perfectly with TensorFlow.Īdditionally, the purpose and character of the project or the number of tools you’ll need may put TensorFlow out of your comfort zone. It also makes it easy to train models, run image recognition, machine translation, PDE-based simulations, word embeddings, natural language processing, and large-scale production prediction.ĭespite being one of the bigwigs in the machine learning field, TensorFlow may not be right for you. TensorFlow is an open-source library used for a wide range of tasks including numerical computation, application building, serving predictions, and acquiring data. Over the years, Google’s TensorFlow has earned a reputation for being one of the best platforms for deep neural networks and machine learning.
It can also impact the pace at which your business develops. The framework that you choose can make or break your project deployment.
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