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I want to separate numbers in suppose 7638 into different images which can be predicted individually using cnn.By finding contours how can I divide each contour into separate image...
Asked on 01/09/2021 by haik
1 answerAs far as I can tell, broadly speaking, there are three ways of dealing with binary imbalanced datasets: Option 1:Create k-fold Cross-Validation samples randomly (or even better create k-fold samples...
Asked on 01/09/2021
2 answerA Deep Learning Pipeline consists of the following 5 points:Define and prepare problemSummarize and understand dataProcess and prepare dataEvaluate algorithmsImprove resultsHere is the source:...
Asked on 01/09/2021 by ayiram
1 answerEvery one. I have EEG dataset with 80 subjects, 3072 data points and 100 trials. This a univariate data, it mean there is only one channel. I am confused how...
Asked on 01/09/2021
2 answerConsider a dataframe that contains two columns, text and label. I can very easily create a stratified train-test split using sklearn.model_selection.train_test_split. The only thing I have to...
Asked on 01/09/2021
1 answerThere are many techniques for visualizing high dimension datasets, such as T-SNE, isomap, PCA, supervised PCA, etc. And we go through the motions of projecting the data down to a...
Asked on 01/09/2021 by hlin117
8 answerI'm using SimpleTranformers to train and evaluate a model. Since the dataset I am using is severely imbalanced, it is recommended that I assign weights to each label. An example...
Asked on 01/09/2021
2 answerI have a situation where my model predictions differ when I use the prediction from a single classifier (e.g. SVM) and the sklearn.ensemble.VotingClassifier with only option the...
Asked on 01/09/2021 by gmaravel
0 answerI am trying a simple example with sklearn decision tree. I am giving "number,is_power2,is_even" as features and the class is "is_even" (of course this is stupid) Here is the...
Asked on 01/09/2021 by knightrider
3 answerMy model is based on Shallow Net.When I am training my model, the results are:loss: 1.1398 - accuracy: 0.6093 - val_loss: 1.2309 - val_accuracy: 0.5657Then I downloaded 20...
Asked on 01/09/2021
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