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I know the benefits of using cnns(reduced size weight matrices). Is it a good idea to convert a input vector(which is not a image) into a matrix and apply cnn's....
Asked on 09/01/2021
1 answerMy task is not a simple image -> category. I have between 5 and 10 images of an object, and I must classify it. The problem is that the category...
Asked on 09/01/2021 by Nicolas Gervais
1 answerMy model summary is:Layer (type) Output Shape ...
Asked on 08/31/2021
1 answerI have been trying to write a naive bayes classifier from scratch that is supposed to predict the class label of the nominal car.arff dataset. However the classifier always predicts...
Asked on 08/31/2021 by ITDADDY
1 answerWhenever I have to communicate a change in a numerical metric, I found myself struggling if I should use Percentage or Percentage Points. Especially, when the metric is a percentage...
Asked on 08/31/2021
1 answerall, i am training light gradient boosting and have used all of the necessary parameters to help in over fitting.i plot the predicted probabilities (i..e probabililty has cancer) distribution from...
Asked on 08/31/2021
1 answerIn the case of a classification problem where a cost matrix is used to maximize the model performance, it is common to do a rebalance technique. Let's say for...
Asked on 08/31/2021 by Tasos
1 answerBackground to the problem: I am estimating individual treatment effects using double machine learning model. I do not know true treatment effects for my problem. Double...
Asked on 08/31/2021 by Chandra
1 answerCurrently implementing the style transfer model proposed in the article Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization. The model takes two RGB images as input:...
Asked on 08/31/2021 by The dickmaster
0 answerI understand the using of deep learning for data that have "local" structure, for example, images/videos/texts, as the convolutional layers reduce the amount of dimensions. However, I saw that some...
Asked on 08/31/2021
2 answerGet help from others!
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