keras

Save and load model optimizer state

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I have a set of fairly complicated models that I am training and I am looking for a way to save and load the model optimizer states. The “trainer models” consist of different combinations of several other “weight models”, of which some have shared weights, some have frozen weights depending on the trainer, etc. It is a bit too complicated of an example to share, but in short, I am not able to use model.save('model_file.h5') and keras.models.load_model('model_file.h5') when stopping and starting my training.

How does Keras 1d convolution layer work with word embeddings – text classification problem? (Filters, kernel size, and all hyperparameter)

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I am currently developing a text classification tool using Keras. It works (it works fine and I got up to 98.7 validation accuracy) but I can’t wrap my head around about how exactly 1D-convolution layer works with text data.

ValueError at /image/ Tensor Tensor(“activation_5/Softmax:0”, shape=(?, 4), dtype=float32) is not an element of this graph

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I am building an image processing classifier and this code is an API to predict the image class of the image the whole code is running except this line (pred = model.predict_classes(test_image)) this API is made in Django framework and am using python 2.7