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8 Deep Learning Frameworks for Data Science Enthusiasts

#artificialintelligence

AI coupled with the right deep learning framework has truly amplified the overall scale of what businesses can achieve and obtain within their domains. The machine learning paradigm is continuously evolving. The key is to shift towards developing machine learning models that run on mobile in order to make applications smarter and far more intelligent. Deep learning is what makes solving complex problems possible. As put in this article, Deep Learning is basically Machine Learning on steroids.


11 Open-Source Frameworks for AI and Machine Learning Models - DZone AI

@machinelearnbot

The meteoric rise of artificial intelligence in the last decade has spurred a huge demand for AI and ML skills in today's job market. ML-based technology is now used in almost every industry vertical, from finance to healthcare. In this article, I compiled a list of the best frameworks and libraries that you can use to build machine learning models. Developed by Google, TensorFlow is an open-source software library built for deep learning or artificial neural networks. With TensorFlow, you can create neural networks and computation models using flowgraphs.


8 Best Deep Learning Frameworks for Data Science enthusiasts

#artificialintelligence

With more and more businesses looking to scale up their operations, it has become integral for them to imbibe both machine learning as well as predictive analytics. AI coupled with the right deep learning framework has truly amplified the overall scale of what businesses can achieve and obtain within their domains. The machine learning paradigm is continuously evolving. The key is to shift towards developing machine learning models that run on mobile in order to make applications smarter and far more intelligent. Deep learning is what makes solving complex problems possible.


Top 10 Deep Learning Frameworks for Every Data Scientist

#artificialintelligence

Deep learning framework with an interface or a library/tool helps Data Scientists and ML Developers to bring the deep learning models into life. Deep Learning a sub-branch of machine learning, that puts efficiency and accuracy on the table, when it is trained with a vast amounts of bigdata. TensorFlow developed by the Google Brain team, is inarguably one of the most popular deep learning frameworks. It supports Python, C, and R to create deep learning models along with wrapper libraries. It is available on both desktop and mobile. The most popular use case of TensorFlow is the Google Translate integrated with capabilities like NLP, text classification, summarization, speech/image/handwriting recognition and forecasting.


Top 8 Deep Learning Frameworks - DZone AI

#artificialintelligence

With more and more businesses looking to scale up their operations, it has become integral for them to imbibe both machine learning as well as predictive analytics. AI coupled with the right deep learning framework has truly amplified the overall scale of what businesses can achieve and obtain within their domains. The machine learning paradigm is continuously evolving. The key is to shift towards developing machine learning models that run on mobile in order to make applications smarter and far more intelligent. Deep learning is what makes solving complex problems possible.