The fastai library, which is based on PyTorch, simplifies training fast and accurate neural networks using modern best practices.It’s based on research into deep learning best practices ...

No longer the upstart nipping at TensorFlow’s heels, PyTorch is a major force in the deep learning world today, perhaps primarily for research, but also in production applications more and more.

However, it’s quite conceivable that newer deep learning applications will increasingly be written and deployed with PyTorch. TensorFlow is not all about Python TensorFlow isn’t dead.

TensorFlow is one of the most popular libraries for deep learning, offering a wide range of tools and resources for beginners and professionals alike. It’s widely used in the industry and is ...

Alteryx adds data science operationalizing functionality, based on technology from Brooklyn-based Yhat, which it acquired in June. Alteryx Promote delivers AI/machine learning model deployment ...

PyTorch and TensorFlow offer distinct advantages that cater to different aspects of the machine learning workflow. Simply follow these insights to make an informed decision that aligns with your ...

Accelerating deep learning with oneDNN. According to Slintel, TensorFlow has a market share of 37%. Kaggle’s 2021 State of Data Science and Machine Learning survey pegged TensorFlow’s usage at ...

Like Google's TensorFlow, PyTorch is a library for the Python programming language — a favorite for machine learning and AI — that integrates with important Python add-ons like NumPy and data ...