The top 10 deep learning frameworks PACKT Books

#artificialintelligence

This is the age of artificial intelligence. Machine Learning and predictive analytics are now established and integral to just about every modern businesses, but artificial intelligence expands the scale of what's possible within those fields. It's what makes deep learning possible. Systems with greater ostensible autonomy and complexity can solve similarly complex problems. If Deep Learning is able to solve more complex problems and perform tasks of greater sophistication, building them is naturally a bigger challenge for data scientists and engineers.


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.


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 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.


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.