Loading a Pre-trained Model in Keras. First, we will import the K eras and required model from keras .applications and then we will instantiate the model architecture along with the imagenet weights. If you want only model architecture then instantiate the model with weights as ‘None’. Note: For below exercise,... Jul 23, 2019 · As I said earlier, Keras can be used to either learn custom words embedding or it can be used to load pretrained word embeddings. In this section, we will see how the Keras Embedding Layer can be used to learn custom word embeddings. We will perform simple text classification tasks that will use word embeddings. Jun 01, 2017 · So, I used VGG16 model which is pre-trained on the ImageNet dataset and provided in the keras library for use. Below is the architecture of the VGG16 model which I used. The only change that I made to the VGG16 existing architecture is changing the softmax layer with 1000 outputs to 16 categories suitable for our problem and re-training the ...
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