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I'm working on Multi-Label problem i.e output can predict 1 or more label as an output and hence training data also have multiple labels. Somehow I'm not able to map...
Asked on 07/19/2021
2 answerI have a tensor x of shape (5, 1). I would like to stack 10 copies of it so that I get a tensor of shape (5, 10). In a...
Asked on 07/19/2021 by Contestosis
1 answerLet say I have a Time series, I'm using sliding/expanding window method to split to train and test data: train would be all the data I have until day x...
Asked on 07/19/2021 by tal lerman
0 answerI have tried a linear regression model for the same data, Since the regression line is continuous i'm not sure if it works to predict the outcome values for next...
Asked on 07/19/2021 by Uday T
1 answerSeems like Autoassociative neural networks and Autoencoders do the same thing. Are they the same, or is there some subtlety I'm not picking up...
Asked on 07/19/2021
2 answerI recently become familiar with Interpretable ML and I found some libraries like LIME. I would be thankful if you can suggest to me some libraries and what are the...
Asked on 07/19/2021 by Katatonia
0 answerI have feature matrices obtained from visual bags of words model for various dictionary sizes. Example, Nx5, Nx10, …., Nx15000. Where N is the number of samples and 5, 10,...
Asked on 07/18/2021
0 answerunfortunately I am having subjectively bad results in inference with pre-trained models of both MobileNet v1 and v2:from keras.applications.mobilenet_v2 import MobileNetV2ConvNet = MobileNetV2(input_shape = None, include_top = True, weights...
Asked on 07/18/2021 by TimLanger
1 answerI am trying to predict the failure of equipment that heats up the liquid in a pipeline using a heat exchanger. The heat exchanger gets built up inside the pipe...
Asked on 07/18/2021
1 answerRegarding Tensorflow/Keras SparseCategoricalcrossEntropy. SparseCategoricalcrossEntropy(from_logits=True) expects the logits that has not been normalized by softmax. Then does SparseCategoricalcrossEntropy applies softmax internally? I suppose applying softmax would not be...
Asked on 07/18/2021
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