Pytorch 基础

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

pytorch-tensorflow-cuda-hpc development

PyTorch templates for different types of ML models

Various implementations of Generative adversarial networks using Pytorch

pytorch_geometric pytorch 1.1 / python 3.6.2/ cuda 9.2

pytorch基础知识-pooling（池化）层 发布于 2019-11-21 20:54:35 9K0 举报 本节介绍与神经层配套使用的pooling（池化）层的定义和使用。 pooling（池化）层原则上为采样操作，与upsample（上采样）不同的是，pooling为下采样操作，即将featu