GoogLeNet is a pretrained model that has been trained on a subset of the ImageNet database which is used in the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC). The model is trained on more than a million images, has 144 layers, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the googlenet.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have.
This mlpkginstall file is functional for R2017b and beyond.
% Access the trained model
net = googlenet;
% See details of the architecture
% Read the image to classify
I = imread('peppers.png');
% Adjust size of the image
sz = net.Layers(1).InputSize
I = I(1:sz(1),1:sz(2),1:sz(3));
% Classify the image using GoogLeNet
label = classify(net, I)
% Show the image and the classification results
Hi can anyone send the alexnet installation zip file to my mail firstname.lastname@example.org
Thanks in advance
Is there any video describing the Deep Learning Toolbox with an example ?
I have many questions such how many videos I need for deep learning
Thank you .
hi ,i'm currently using Matlab 2016a .Can anyone send me a .zip file for this or anything that will be compatible with my current version ? my email ID: email@example.com
Hi, i'm trying download it, but there is an error message: The support package is not compatible with your version of MATLAB or operating system.
I have installed in my computer Windows 10 and Matlab R2018b. Can you help me?
Hi, I'm using a R2016a, R2017b .I just want to test about deep learning by using matlab. but Unforutnately I cannot receive file related website. I guess security system would block from your website. So I need to get a file which is... googLenet directly. So plz. Could you send me a alexnet.zip file? My email address is firstname.lastname@example.org . Thank you!
thank you help to bring new ai to the world fast transfer learning
great works immidiatly no effort
The name of the first and second fully connected layer are 'fc6' & 'fc7' respectively in (Alexnet, VGG16,VGG19). the question is what's the fully connected layer names in googlenet?
Hey Shounak Mitra, thank you! I have solved it. The key is to create a copy of googlenet (with data augmentation) with DAGNetwork function.
That's true, you would have to follow some instructions outlined at https://www.mathworks.com/help/nnet/ref/nnet.cnn.layergraph.html?s_tid=doc_ta
For your reference, you can also refer to https://www.mathworks.com/help/nnet/ref/imagedataaugmenter.html?s_tid=srchtitle to know more about the imageDataAugmenter
you cannot manipulate the layers like that. Have you tried going through this
I try to change the inputImageLayer for data augmentation, but occured the error: You cannot set the read-only property 'Layers' of DAGNetwork.
thank you, good tutorial. I have a question. How to implement data augmentation for googlenet?
Kuan, unfortunately, you cannot. you ought to have R2017b version. But you can use another model - AlexNet (https://www.mathworks.com/matlabcentral/fileexchange/59133-neural-network-toolbox-tm--model-for-alexnet-network) with the 17a version.
Hi, can I use it in R2017a version?
Thank you, such a nice tool.
Are you using the R2017b version?
Hello, I try to download it and I get an error message:
The support package is not compatible with your version of MATLAB or operating system
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