Most Useful Deep Learning Tools for 2020
by Jency Jane 5 years of experience in writing. I love my work lDeep learning is basically a machine learning technique that has gained attention in recent years. Deep learning is inspired by the structure of the human brain and aims to enable computers to perform tasks that are very natural to humans– such as differentiating a pedestrian from a lamppost, recognizing a stop sign, etc.
The fast-evolving technology – Deep Learning is creating a paradigm shift in the way machines process data and information. Similar to other enabling technologies like AI and data science, deep learning is empowering users to achieve outcomes that were once not possible.
This article discusses about the top 7 best deep learning software tools that companies can benefit from in 2020:
DeepLearningKit
DeepLearningKit is an open-source deep learning framework that is trained with Caffe Deep Learning framework. A GPU optimized deep learning framework, DeepLearningKit supports using pre-trained convolutional neural networks and is compatible with iOS, OS X, tv OS, etc. However, the tool aims to support other frameworks like Theano, Torch, TensorFlow, etc, in the future.
Neural Designer
A software tool for data analytics, Neural Designer specializes in neural networks that mimic human brain function and provides an integrated environment for predictive analytics. A highly performant machine learning software, Neural Designer, allows users to build AI models to identify hidden patterns, complex relationships, etc, and predict future trends by using neural networks to process massive datasets.
Microsoft Cognitive Toolkit
Microsoft Cognitive Toolkit is a commercial-grade distributed deep learning framework developed by Microsoft Research. Previously known as CNTK, the open-source toolkit – Microsoft Cognitive Toolkit is easy-to-use
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Created on Sep 30th 2020 10:29. Viewed 501 times.