The MathWorks Neural Networks Toolbox development team has just posted two new items to the MATLAB Central File Exchange.
The first is an importer for TensorFlow-Keras models. This submission enables you to import a pretrained Keras model and weights and then use the model for prediction or transfer learning. Or, you can import the layer architecture as a Layer array or a LayerGraph object and then train the model.
The second is the pretrained ResNet-50 model. This model, which has been trained on a subset of the ImageNet database, won the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) competition in 2015. The model is trained on more than a million images, has 177 layers in total, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
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Resnet50 and Resnet101 have a bug and don’t work for fine tune.