A convolutional neural network consists of an input layer, hidden layers and an output layer. In a convolutional neural network, the hidden layers include one or more layers that perform convolutions. Typically this includes a layer that performs a dot product of the convolution kernel with the layer's input matrix.

2018年12月9日 · 以下内容参考、引用部分书籍，若侵犯版权，请告知本人删帖 卷积层的由来 人们发现 视觉皮层 中许多神经元具有一个小的局部接收域，即只对视野中有限的区域内的视觉刺激做出反应。不同的神经元的接收域是重叠的，它们共同组成了完整的视野。不同的神经元对视野中不同的部分做出反应，如 ...

2024年6月11日 · Convolution layers are fundamental components of convolutional neural networks (CNNs), which have revolutionized the field of computer vision and image processing.

2024年10月10日 · The Convolutional layer applies filters to the input image to extract features, the Pooling layer downsamples the image to reduce computation, and the fully connected layer makes the final prediction.

来源：Coursera吴恩达 深度学习 课程 如何构建 卷积神经网络 的 卷积层（convolutional layer） 呢？来看一个例子。 假设使用两个过滤器进行卷积，第一个过滤器得到第一个4×4矩阵，形成一个卷积神经网络层，然后增加偏差（bias），它是一个实数（real number），通过Python的广播机制给这16个元素都加上 ...

In artificial neural networks, a convolutional layer is a type of network layer that applies a convolution operation to the input. Convolutional layers are some of the primary building blocks of convolutional neural networks (CNNs), a class of neural network most commonly applied to images, video, audio, and other data that have the property of uniform translational symmetry. [1] …

听麻麻说，偷偷收藏而不感谢是不礼貌的，至少应该点个赞~我觉得麻麻说的对！ 从今天起，正式开始讲解 卷积神经网络。这是一种曾经让我无论如何也无法弄明白的东西，主要是名字就太“高级”了，网上的各种各样的文章来介绍“什么是卷积”尤为让人受不了。听了 吴恩达 的网课之后 ...

2019年4月16日 · Convolutional layers are the major building blocks used in convolutional neural networks. A convolution is the simple application of a filter to an input that results in an activation. Repeated application of the same filter to an input results in a map of activations called a feature map, indicating the locations and strength of a detected feature in an input, such as an image. The innovation ...

2017年3月29日 · 译者按：本文译自 Tim Dettmers 的 Understanding Convolution in Deep Learning。有太多的公开课、教程在反复传颂卷积神经网络的好，却都没有讲什么是「卷积」，似乎默认所有读者都有相关基础。这篇外文既友好又…

2023年1月18日 · Convolutional Layers A convolutional layer can be thought of as the “eyes” of a CNN. The neurons in a convolutional layer look for specific features. At the most basic level, the input to a convolutional layer is a two-dimensional array which can be the input image to the network or the output from a previous layer in the network.