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I have a data set X that is composed of mean and standard deviation, this is repeated 5 times, so …
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I have to compute the gradients of this model: model=Sequential() model.add(Dense(40, activation=’relu’,input_dim=12)) model.add(Dense(60, activation=’relu’)) model.add(Dense(units=3, activation=’softmax’)) opt=tf.keras.optimizers.Adam(lr=0.001) model.compile(loss="mse", optimizer=opt) model_q=Sequential() …
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