In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Android development is not limited to cute little apps that split the bill in restaurants (that seems to be everyone’s “genius app idea,” or is it just me?). Android is a powerful platform with ...

Overview: Enterprises now prioritize scalable AI frameworks supporting automation, governance, and intelligent workflow ...

TensorFlow is an open-source machine learning and AI development platform accessible via GitHub, compatible with programming languages such as Python, JavaScript, Java, and C++. It is designed to ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. In 2016, more than 100 million people worldwide watched closely as the legendary world champion Go ...