STL-10 dataset is an image recognition dataset for developing unsupervised feature learning, deep learning, self-taught learning algorithms. It is inspired by theCIFAR-10 datasetbut with some modifications.http://www.stanford.edu/~acoates//stl10/ The Street View House Numbers (SVHN) Dataset -htt...
It's a full pipeline which you would need to do if you actually work with machine learning - introducing you to all the parts, and all the implementation decisions and details that need to be made. The dataset is not one of the standard sets like MNIST or CIFAR, you will make you ...
MNIST is one of the most popular deep learning datasets out there. It’s a dataset of handwritten digits and contains a training set of 60,000 examples and a test set of 10,000 examples. It’s a good database for trying learning techniques and deep recognition patterns on real-world data...
git clone git@github.com:hunterlew/mstar_deeplearning_project.git Classification The first part of the work focuses on 10-class radar target classification on standard MSTAR dataset. For avoiding overfitting, I fulfilled 96*96 SAR target classification with data augmentation using random cropping, prov...
深度学习框架(Deep Learning Framework)是目前研究人员开发深度神经网络(Deep Neural Network)的主要工具,对深度神经网络的成功应用和快速发展有重要的促进作用。设计深度学习网络是一个“探索性训练”(Exploratory-Training)的过程,通常以构建一个基础网络(Base Graph)为出发点进行训练,根据训练情况的反馈,对该神经网络的...
U-Net, a deep-learning convolutional neural network, is used to downscale coarse meteorological data. Based on 19 models from the Coupled Model Intercomparison Project Phase 6 and the Multi-Source Weather (MSWX) dataset, bias correction and UNet downscal
learning accuracy. The core concept ofDeLightis to project data to low-dimensional embeddings (subspaces) in a context-and-resource-aware manner. Consequently, insights into data samples can be achieved through dramatically less neurons. Moreover, trained models in every embedding are integrated to ...
ifpretrained:pretrained_models=torch.load(model_urls["vgg"+arch])# transfer learning# if you want to train your own datasetifarch=='11':delpretrained_models['features.8.weight']delpretrained_models['features.11.weight']delpretrained_models['features.16.weight']elifarch=='13':delpretrained_...
From the full set of Coupled Model Intercomparison Project Phase 5 (CMIP5) ESMs by various institutes, we discard those which have some months missing, leaving 32 ESMs. The CMIP5 historical forcing experiment spans from January 1950 to December 2005, or 672 months in total. This ESM dataset ...
4.1. Dataset In this work, we constructed a mixed dataset by combining the “Udacity Machine Learning Nanodegree Project Dataset” [48] and the “Cracks and Potholes in Road Images Dataset” [45]. The first dataset was collected by a smartphone and contained 12,764 training images. The images...