An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs).

We wrote a tiny neural network library that meets the demands of this educational visualization. For real-world applications, consider the TensorFlow library. This was created by Daniel …

In deep learning, convolution operations are the key components used in convolutional neural networks. A convolution operation maps an input to an output using a filter and a sliding …

ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no …

2020年10月21日 · 来自佐治亚理工学院与俄勒冈州立大学的研究者们，合作开发出了一款卷积神经网络交互式可视化工具——CNN 解释器（CNN Explainer）。 这个解释器展示了一个 10 层的 …

PyTorch 卷积神经网络 (Convolutional Neural Networks, CNN) 是一类专门用于处理具有网格状拓扑结构数据（如图像）的深度学习模型。 CNN 是计算机视觉任务（如图像分类、目标检测和 …

对经典卷积神经网络的实现练习 主要来自于Tensorflow实战（黄文坚） 附上经典的神经网络论文. LeNet主要提出了CNN的概念，非常划时代，论文主体分析了Traditional pattern recognition的 …

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. Wang, Zijie J., Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, …

Welcome to the repository for the CNN Tutorial using PyTorch. This repository is designed to guide participants through the fundamentals of Convolutional Neural Networks (CNNs), …

2020年4月30日 · 该博客通过导入torch库，使用FashionMNIST数据集，建立一个简单的卷积神经网络 (CNN)。 从数据预处理到网络搭建，博主提供了一个完整的代码示例。