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So I recently started with Andrew Ng's ML Course and this is the formula that Andrew lays out for calculating gradient descent on a linear model. $$ theta_j =...
Asked on 12/04/2020 by Manas Tripathi
1 answerI am trying to build a word embedding keras model wherein I give as input a text that is converted to its corresponding input ids and masks (like input to...
Asked on 12/04/2020 by Viktor1903
0 answerI don't understand how images are actually fed into a CNN. If I have a directory containing a few thousand images, what steps do I need to take in order...
Asked on 12/04/2020 by 55thSwiss
3 answerI have applied TF*IDF on the 'Ad-topic line' column of my dataset.For every ad-topic line, I get the same output: ...
Asked on 12/04/2020 by Apollo
3 answerI have sales training data from 2019-06 to 2020-06 and I have to predict sales from 2020-06 to today. The pandemic had a great impact on sales. Are there methods...
Asked on 12/04/2020
0 answerpd is a panda module is one way of reading excel but its not available in my cluster. I want to read excel without pd module. Code1 and Code2 are...
Asked on 12/04/2020 by shalu
2 answerI am using conv1d to classify EEG signals, but my val_accuracy stuck at 0.65671. No matter what changes i do, it never go beyond 0.65671.Here is the architecturemodel=Sequential()model.add(Conv1D(filters=4,kernel_size=5,strides=1,padding='valid',kernel_initializer='RandomUniform',input_shape=X_train.shape[1::]))model.add(BatchNormalization())model.add(Activation('relu'))model.add(Conv1D(filters=6,kernel_size=3,strides=1,padding='same'))model.add(BatchNormalization())model.add(Activation('relu'))model.add(Dropout(0.2))model.add(Conv1D(filters=8,kernel_size=3,strides=1,padding='valid',activation='relu'))#model.add(Conv1D(filters=24,kernel_size=7,strides=1,padding='same',activation='relu'))model.add(Flatten())model.add(Dense(12,activation='relu'))model.add(Dense(1,activation='sigmoid'))Shape...
Asked on 12/04/2020 by Talha Anwar
4 answerI am a user of Keras with Python, if I know some mathematics I am not very good about algebraic transformation. The context is the following. I am trying...
Asked on 12/04/2020
1 answerI am trying to duplicate this papers feature engineering for user activity. They take 14 days of accumulated user activity and keep the parameters (2 parameters) that fit a sigmoid...
Asked on 12/03/2020 by zipline86
1 answerI have noticed that such terms as model hyperparameter and model parameter have been used interchangeably on the web without prior clarification. I think this is incorrect and needs explanation....
Asked on 12/03/2020 by minerals
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