MATLAB: Dropout value with 0.6 drop-out layer Hi I am asking in Deep Learning NN Is it possible and reseonable to use dropout value with 0.6 Best, Best Answer Hi,You can use dropout layer in MATLAB. It is possible.Refer to the following documentation linkhttps://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.dropoutlayer.html?searchHighlight=dropout&s_tid=doc_srchtitleTo answer your question about reasonability, it totally depends on your requirement and how do you want to tune your network. Related SolutionsMATLAB: Dropout in neural network Yes. See this page for more information: http://au.mathworks.com/help/nnet/ref/dropoutlayer-class.html MATLAB: How is the in-line googlenet or inception v3 created using codes By my understanding it seems that you want to create a similar architecture to googlenet.You can refer to the link attached below for refering the googlenet architecture and you can use MATLAB function for creating the architecture:Googlenet architecture: https://www.analyticsvidhya.com/blog/2018/10/understanding-inception-network-from-scratch/MATLAB functions which will be helpful to create the architecture: https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.imageinputlayer.htmlhttps://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.convolution2dlayer.htmlhttps://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.batchnormalizationlayer.htmlhttps://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.relulayer.htmlhttps://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.fullyconnectedlayer.htmlhttps://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.softmaxlayer.htmlhttps://www.mathworks.com/help/deeplearning/ref/classificationlayer.htmlAlso you can try using googlenet inbuilt architecture in MATLAB as a pre-trained network and train it for your dataset.Hope it helps. Related QuestionDropout Layer Before Fully connected Layer
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