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 ...

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 ...

Artificial Intelligence (AI) is a rapidly growing field with numerous applications, including computer vision, natural language processing (NLP) and speech recognition. To develop these AI ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Within the realm of data science, deep learning frameworks are predominantly delivered via software found in the Python ecosystem. When looking at the options in the space, it may appear to some as a ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service for developers and data scientists. Google has many investments in the space of machine ...

Machine learning developers gained new abilities to develop and run their ML programs on the framework and hardware of their choice thanks to the OpenXLA Project, which today announced the ...

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond its ...