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It's very straightforward for binary semantic segmentation: black color (0s) is responsible for background, whereas white color (1s) is responsible for objects of interest. ...
Asked on 06/14/2021 by SagRU
1 answerI am having a hard time evaluating my model of imputation. I used an iterative imputer model to fill in the missing values in all four columns. For the model...
Asked on 06/14/2021 by nisrine hammout
1 answerThis question boils down to "how do convolution layers exactly work. Suppose I have an $n times m$ greyscale image. So the image has one channel.In the first layer,...
Asked on 06/14/2021
5 answerI have the following problem. From a technical model we have a function $f(n,p)$ approximating its runtime. The function $f$ which maps $$ f: mathbb{N} times...
Asked on 06/14/2021 by M.K. aka Grisu
1 answerI am training a multi-class LSTM classifier on approximatively 700k documents of 40 words. My classes are very umbalanced, some have 2 or 3 samples while the biggest class has...
Asked on 06/14/2021 by throwawayz932
0 answerI'm reading the following really interesting paper https://arxiv.org/pdf/1602.04938.pdf on local interpretable model explanations on page 3 however particularly section 3.3 Sampling for Local Exploration they mention...
Asked on 06/13/2021 by iaaml
1 answerI am trying to implement an autoencoder for prediction of multiple labels using Keras. This is a snippet:input = Input(shape=(768,))hidden1 = Dense(512, activation='relu')(input)compressed = Dense(256, activation='relu', activity_regularizer=l1(10e-6))(hidden1) hidden2 =...
Asked on 06/13/2021 by Animeartist
1 answerI'm trying to rotate some images with some boundary boxes, but I couldn't get the new bb. So if I have an image of 100x70 and I have a pixel...
Asked on 06/13/2021
1 answerI've developed a tool that retrieve the closest expressions from a database based on what the user typed. (using word embedding - a comparison is made between each expression from...
Asked on 06/13/2021
1 answerI have a text dataset with noisy labels and an unbalanced shape. There are various ways to find features which do not drive improvement in some metric, and help to...
Asked on 06/13/2021
0 answerGet help from others!
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