How do I find out the number of neurons?

Dear all,

I have this code for training neural network

Dataset = imageDatastore('Dataset', 'IncludeSubfolders', true, 'LabelSource', 'foldernames');
[Training_Dataset, Validation_Dataset, Testing_Dataset] = splitEachLabel(Dataset, 0.7, 0.15, 0.15);

net = googlenet;
analyzeNetwork(net)

Input_Layer_Size = net.Layers(1).InputSize(1:2);
Resized_Training_Dataset = augmentedImageDatastore(Input_Layer_Size ,Training_Dataset);
Resized_Validation_Dataset = augmentedImageDatastore(Input_Layer_Size ,Validation_Dataset);
Resized_Testing_Dataset = augmentedImageDatastore(Input_Layer_Size, Testing_Dataset);

Feature_Learner = net.Layers(142).Name;
Output_Classifier = net.Layers(144).Name;

Number_of_Classes = numel(categories(Training_Dataset.Labels));

New_Feature_Learner = fullyConnectedLayer(Number_of_Classes, ...
    'Name', 'PV Feature Learner', ...
    'WeightLearnRateFactor', 10, ...
    'BiasLearnRateFactor', 10);
    
New_Classifier_Layer = classificationLayer('Name', 'PV Classifier');

Network_Architecture = layerGraph(net);

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 = floor(numel(Resized_Training_Dataset.Files)/Minibatch_Size);
Training_Options = trainingOptions('sgdm', ...
    'MiniBatchSize', Minibatch_Size, ...
    'MaxEpochs', 15, ...
    'InitialLearnRate', 3e-4, ...
    'Shuffle', 'every-epoch', ...
    'ValidationData', Resized_Validation_Dataset, ...
    'ValidationFrequency', Validation_Frequency, ...
    'Verbose', false, ...
    'Plots', 'training-progress');

net = trainNetwork(Resized_Training_Dataset, New_Network, Training_Options);

I need to know how many neurons are in layers? Does anyone have any idea?

Answer 1

[Shivam Singh]

You can display the total number of learnable parameters of each layer in the output displayed by analyzeNetwork function by clicking on the arrow in the top-right corner of the layer table and selecting “Total Learnables”.

As of the current release there is no straightforward way to find the Total number of Learnables of the network. This is known to the concerned people, and they might provide support to this feature in the future release.