Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 320

Creating graphs of CNN models: cannot use plot_model from keras.utils.vis_utils

I am using keras w/ PyCharm on windows 10. I am trying to print my tensorflow.keras.Model usingfrom keras.utils.vis_utils import plot_model...res_net_model = tf.keras.Model(inputs=inputs,outputs=outputs)...plot_model(res_net_model) #, to_file='cnn_resnet_model.bmp')...

Asked on 09/08/2020 by danglingPointer

1 answer

How to measure augmented data quality

I work on NLP binary classification task (but actually the question can be applied to any ML task using augmentation) and use Augmentation technique for creating additional data.I already...

Asked on 09/06/2020 by Mikhail_Sam

0 answer

Why Adaboost SAMME needs f to be estimable?

I am trying to understand the mathematics behind SAMME AdaBoost: https://web.stanford.edu/~hastie/Papers/samme.pdf At some stage, the paper adds a constraint for f to be estimable: ...

Asked on 09/06/2020 by Aggamarcel

1 answer

Convolution neural network with 11 million parameters unable to overfit on 100 image samples

I have been trying to do some sort of image enhancement on grayscale images. I have used both pixel wise loss and perceptual loss (perceptual loss uses classifier between 2...

Asked on 09/06/2020 by Karim Mohamed Hasebou

1 answer

what does random seed value mean in weka?

I use weka to make a dataset classification but there is an option in classifier evaluation ( random seed for XVAL/% split). What does this option mean? ,and what is...

Asked on 09/05/2020 by Ahmad Sarairah

1 answer

decision -tree regression to avoid multicollinearity for regression model?

I read in comments a recommendation for decision tree´s instead of linear models like neural network, when the dataset has many correlated features. Because to avoid multicollinearity.A similar question...

Asked on 09/05/2020

1 answer

The distribution of dataset train and test are the differents, how to fix this?

I am new in data science and like some help to understand my problem. For instance, I have two signals non-stationary for the same condition (figure 1). ...

Asked on 09/05/2020 by Natalie Chaves

1 answer

Why not always use the ADAM optimization technique?

It seems the Adaptive Moment Estimation (Adam) optimizer nearly always works better (faster and more reliably reaching a global minimum) when minimising the cost function in training neural...

Asked on 09/04/2020

2 answer

TypeError: Only integers, slices (`:`), ellipsis (`...`), tf.newaxis (`None`) and scalar tf.int32/tf.int64 tensors are valid indices, got [1, 3]

I am trying to train a 3D segmentation Network from Github. My model is implemented by Keras (Python) which is a typical U-Net model. The model summary...

Asked on 09/04/2020 by ashraful

0 answer

Incorrect multi-variate anomaly detection - Isolation Forest Python

My data looks like below. it has 333 rows and 2 columns. Clearly the first row is anomaly. ndf: +----+---------+-------------+| | ROW_CNT | ...

Asked on 09/03/2020 by The AG

1 answer

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