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.

Both PyTorch and TensorFlow support deep learning and transfer learning. Transfer learning, which is sometimes called custom machine learning, starts with a pre-trained neural network model and ...

TensorFlow is known for being a high-performance deep learning library. It has a large and active user base, as well as a plethora of official and third-party training, deployment, and serving models, ...

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

This repository is home to the code that accompanies Jon Krohn's Deep Learning with TensorFlow, Keras, and PyTorch series of video tutorials.. There are three sets of video tutorials in the series: ...

Reinforcement Learning and Deep Learning. TensorFlow’s capabilities in reinforcement learning are worth noting, particularly its ability to facilitate complex, state-of-the-art algorithms in ...

TensorFlow is, as of now, the most widespread deep learning framework. It gets almost twice as many questions on StackOverflow every month as PyTorch does. The 💜 of EU tech ...