Satellite Image Classification 🚀 This project aims to classify satellite images into four categories: cloudy areas, deserts, green areas, and bodies of water. Using Convolutional Neural Networks (CNN), the project addresses the problem of land cover analysis, providing valuable insights into ecosyste...
Image Classification Using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN): A ReviewWith the advent of technologies, real-time data is essentially required for future development. Everyday, a huge amount of visual data is being collected, but to use it efficiently, we need...
【系列文章】【专栏:深度解析李宏毅机器学习2023作业】【简要说明】1、本次文章总结记录作业03CNN的调参经验,如下图所示,最终本人的模型方案在Public Test和Private Test都达到了Boss Baseline【Public分数0.89…
构建CNN的基本层: 卷积层(Convolutional layer) 激活函数(Sigmoid, ReLU) 池化层(Pooling layer) 平均池化层(Average pooling) 最大化池化(Max pooling) 全连接层(Fully-Connected layer)批归一化层(Batch Normalization layer) 一、卷积层-CNN卷积的理解 用卷积核这种东西以扫描窗的方式对图像的每个像素进行扫描。...
【Stanford CNN课程笔记】1. Image Classification and Nearest Neighbor Classifier 本课程笔记是基于今年斯坦福大学Feifei Li, Andrej Karpathy & Justin Johnson联合开设的Convolutional Neural Networks for Visual Recognition课程的学习笔记。目前课程还在更新中,此学习笔记也会尽量根据课程的进度来更新。
visualization keras cnn dropout classification deeplearning farmers multiclass-classification crops imageclassification field-dataset batchnormalization Updated Jun 8, 2019 Jupyter Notebook KrishArul26 / Motorbike-Helmet_detection-using-YOLOV3 Star 18 Code Issues Pull requests This project related to ro...
可以看到训练和测试的数据预处理流程并不一样,在训练时,主要的数据增强是通过transforms.RandomResizedCrop来完成:从输入图像随机选择一块矩形区域(Region of Classification, RoC),然后resize到固定大小(224),scale参数控制RoC的变化范围,这样训练过程模型学习到不同scale的物体。在测试过程中,是直接将图像resize到一个固...
1)面向移动设备的轻量化通用视觉网络:MobileVit吸取CNN的轻量、局部表示和ViT的全局表示两种优点。 2)Transformer ViT 轻量化通用视觉网络,开始新的轮回。Transformer全局性再次体现出来,和CNN局部性搭配相得益彰。 3)新的Backbone = MobileVit出现,继续拭目以待。。。 编辑于...
文如其名, 本文就梳理了多种技巧, 有训练效率上的, 有模型微调的等等, 许多技巧其实不只限于 Image Classification, 可以直接或者推广到其他领域或者模型. 按行文梳理如下. 文章的 baseline 是 ResNet50, 不使用任何技巧的训练过程就省略了. 高效训练篇 要加快训练, 基本上有两种思路: 使用更低的精度表示; 使用...
Deep Neural Network for Image Classification DNN A deep neural network (DNN) is an artificial neural network (ANN) with multiple layers between the input and output layers.There are different types of neural networks but they always consist of the same components: neurons, synapses, weights, bias...