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My CNN is an extremely simple neural network.input_img = Input(shape=(80, 80, 1))x = Conv2D(32, (3, 3), activation='relu', padding='same')(input_img)decoded = Conv2D(1, (3, 3), activation='sigmoid', padding='same')(x)decoder = Model(input_img, decoded)decoder.compile(optimizer='adadelta', loss='binary_crossentropy')As you...
Asked on 11/26/2020 by Bahauddin Omar
0 answerI have the following data set: I want to use attributes Tags and Authors to classify each record into their...
Asked on 11/24/2020 by GGS
1 answerFamous LeNet-5 architecture looks like this: The output of layer S2 has dimension: 10x10x6 - so basically an image with 6...
Asked on 11/24/2020 by Mateusz Konopelski
1 answerI have an array of sequences of equal length, each sequence contains 300 numbers (M=300). Each element in a sequence is a number from 1 to 9:13571398...2455 # 300...
Asked on 11/24/2020 by stv
1 answerI've been following a tutorial on training a model and I've stumbled across an error that I've been struggling to find a solution for. The code for the model training...
Asked on 11/24/2020 by Danny Cupper
1 answerI would like to calculate confidence intervals for predicted probabilities of a class membership obtained with randomForest. I know I could use predict.all in randomForest(), which gives me the predictions...
Asked on 11/24/2020 by user2888990
0 answerI want to train my application for phrase similarity. I want my model to predict similarity score for phrases as shown in below examples.ex-International Business Machines = I.B.MSynergy...
Asked on 11/23/2020 by Mohit Saini
2 answerI am little confused about how to structure my specific data for multilevel analysis. I have 10 categories and each category has some items in them. The dataset is available...
Asked on 11/21/2020 by moksha
1 answerAfter setting up a 2-noded Hadoop cluster, understanding Hadoop and Python and based on this naive implementation, I ended up with this code:...
Asked on 11/20/2020 by gsamaras
1 answerI have read and seen that in CNN we apply DROPOUT layer between the FULLY CONNECTED layers to reduce overfitting. Can we also apply the dropout layer between the CONV...
Asked on 11/20/2020 by Shiv
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