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我怎么知道神经元的数量?

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Anindya Athaya Putri 2021年7月29日15时28分

回答: 11日辛格 1天前

training.m

亲爱的所有,

这是训练神经网络的代码

                    数据集= imageDatastore (“数据集”，“IncludeSubfolders”,真的,“LabelSource”，“foldernames”）;
                   
                    [Training_Dataset, Validation_Dataset, Testing_Dataset] = splitEachLabel(数据集，0.7,0.15,0.15);
                   
                    网= googlenet;
                   
                    analyzeNetwork(净)
                   
                    Input_Layer_Size = net.Layers (1) .InputSize (1:2);
                   
                    resize_training_dataset = augmentedImageDatastore(Input_Layer_Size,Training_Dataset);
                   
                    resize_validation_dataset = augmentedImageDatastore(Input_Layer_Size,Validation_Dataset);
                   
                    resize_testing_dataset = augmentedImageDatastore(Input_Layer_Size, Testing_Dataset);
                   
                    Feature_Learner = net.Layers . name (142);
                   
                    Output_Classifier = net.Layers . name (144);
                   
                    Number_of_Classes =元素个数(类别(Training_Dataset.Labels));
                   
                    New_Feature_Learner = fullyConnectedLayer (Number_of_Classes,．..
                   
                    “名字”，“光伏特性的学习者”，．..
                   
                    “WeightLearnRateFactor”10．..
                   
                    “BiasLearnRateFactor”10);
                   
                    New_Classifier_Layer = classificationLayer (“名字”，“光伏分类器”）;
                   
                    Network_Architecture = layerGraph(净);
                   
                    New_Network = replaceLayer(Network_Architecture, Feature_Learner, New_Feature_Learner);
                   
                    New_Network = replaceLayer(New_Network, Output_Classifier, New_Classifier_Layer);
                   
                    analyzeNetwork (New_Network)
                   
                    Minibatch_Size = 4;
                   
                    Validation_Frequency =地板(元素个数(Resized_Training_Dataset.Files) / Minibatch_Size);
                   
                    Training_Options = trainingOptions (“个”，．..
                   
                    “MiniBatchSize”Minibatch_Size,．..
                   
                    “MaxEpochs”15岁的．..
                   
                    “InitialLearnRate”3的军医,．..
                   
                    “洗牌”，“every-epoch”，．..
                   
                    “ValidationData”Resized_Validation_Dataset,．..
                   
                    “ValidationFrequency”Validation_Frequency,．..
                   
                    “详细”假的,．..
                   
                    “阴谋”，“训练进步”）;
                   
                    net = trainNetwork(resize_training_dataset, New_Network, Training_Options);