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I am trying to implement greedy layer-wise pretraining for Convolutional Neural Network binary classifier using AutoEncoders. However, I am a little bit confused regarding the logic of implementation. If I...
Asked on 08/15/2020 by Stefan Radonjic
0 answerThere are two pd.DataFrame. First is like this:print df1 id date month...
Asked on 08/14/2020 by Artem Betley
2 answerI have sets of data describing sets of levels of requirements needed for certain sets of tasks. The following is a tabulated example:...
Asked on 08/14/2020 by Georgio Sayegh
3 answerI am trying to make a simple neural network with one dependent and one independent variable. Could you maybe give me a tutorial or help me with the implementation of...
Asked on 08/13/2020 by Ana Smile
1 answerI was implementing the transformer architecture in tensorflow. I was following the tutorial : https://www.tensorflow.org/tutorials/text/transformer#setup_input_pipeline They implement the positional encoding in this way:angle_rates = 1 /...
Asked on 08/13/2020 by Darome
1 answerI want to know if Deep learning can be used for Resume Parsing and scoring of the resume. Currently what I am doing is extracting the text from pdf or...
Asked on 08/13/2020
1 answerIn this paper (https://arxiv.org/pdf/1703.03864.pdf) they have this equation, where they use the score function estimator, to estimate the gradient of an expectation. How did they derive this?...
Asked on 08/13/2020
1 answerI'm creating a basic application to predict the 'Closing' value of a stock for day n+1, given features of stock n using Python and Scikit-learn A sample row in my...
Asked on 08/13/2020 by Ben Williams
1 answerI confront with a binary classification machine learning task which is both slightly imbalanced and cost sensitive. I wonder what (and where in the modeling pipeline, say, in sklearn) is...
Asked on 08/13/2020
1 answerHow does feature selection impact outlier detection and also, removing outliers impact feature selection?It could be a basic question. However, just to know the boundaries, I asked. Thanks in...
Asked on 08/12/2020 by Payal Bhatia
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