In a recent tutorial, we looked at widely used activation functions in today's neural networks. More specifically, we checked out Rectified Linear Unit (ReLU), Sigmoid and Tanh (or hyperbolic tangent) ...

When I used pytorch-quantization-tool to export a QDQ model: And TensorRT can fuse conv + relu + add, and this is engine draw: But when I change to use torch.fx and fx2trt to export a model: tensorrt ...

This article demonstrates how we can implement a Deep Learning model using PyTorch with TPU to accelerate the training process. Here, we define a Convolutional Neural Network (CNN) model using PyTorch ...

By experimenting and iterating, you can find the best pytorch model for your data analysis project. Add your perspective Help others by sharing more (125 characters min.) Cancel ...

The Data Science Lab. Neural Regression Using PyTorch: Model Accuracy. Dr. James McCaffrey of Microsoft Research explains how to evaluate, save and use a trained regression model, used to predict a ...

AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework.The first of these is TorchServe, a model-serving framework for ...