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Published: 23/05/2018I'm trying to classify images. I want to run each image through a pretrained CNN to apply convolution and pooling and end up with a smaller picture/matrix where the value of each pixel is a feature. T ... Read moreSource: datascience.stackexchange.com


Published: 23/05/2018We are looking for data sets with 3D images, preferably from the medical field. It is important that they have been segmented by more than one person/expert. An example of this is the BraTS Challenge ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018I would like to train my LSTM with a "synthetic gradients" Decoupled Neural Interface (DNI). How to decide on the number of layers and neurons for my DNI? Searching them by trial end error or what's w ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018From a very high level of possible machine learning methodologies, what method of classification would be good to identify objects or situations based on the color sensor pixel array (i.e., 16x16 arra ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018Let's take some specific book to narrow this example. Atlas shrugged by Ayn Rand. When i'll be saying something like "Ayn Rand's ideas", i'll mean only those, which are clearly stated in the book. Hum ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018I have a dataset that contains weekly sales for stores and categories. It looks like this: I would like to apply gradient boosting method to predict weekly sales. My question is: Should I create dummy ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018How would one go about selecting the validation set used to evaluate trained models by an automated system, in order to ensure that each new model is at least as good as, or better than the previous m ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018I am very much a beginner in ML space. I am learning keras to get handson experience. I picked the classification of 20_newsgroups data for my task, I used glove.6B.50d.txt for embeddings. I chose to ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018We can define the F  measure as follows: $F_{\alpha}=\frac{1}{\alpha \frac{1}{P}+(1\alpha)\frac{1}{R}} $ Now we might be interested in choosen a good $\alpha$. In the article The truth of the Fmeas ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018Calculate the silhouette coefficient of point Pi from the above image. To apply the given formula, how to know which is a(i) and b(i)? Read moreSource: datascience.stackexchange.com

Published: 23/05/2018I am building a Neural Network for a binary classification problem where the Bayes error (lowest possible error rate) is probably close to 50%. What makes the task easier is that I don't need to make ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018I've been given this problem but cannot seem to get an analytical solution. I've tried satisfying the logistic function with several vectors but have difficulty finding ones which are also orthogonal. ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018What are the possible approaches when we need to train a model, but the training dataset is really small? (Assuming we have a lot of data, just not many data are labeled) I know a library from Stanfor ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018What Hadoop Supports from the CAP theorem Read moreSource: datascience.stackexchange.com

Published: 23/05/2018I trained segnet on a dataset of remote sensing imagery. When I run model.evaluate a set of metrics is returned. When I compile the model again with the same settings and evaulate the model again, the ... Read moreSource: datascience.stackexchange.com

Published: 23/05/2018I am building a mobile app that can predict what apps users may be interested in downloading from the play store, based on what apps the user has already installed on their device and how much time th ... Read moreSource: datascience.stackexchange.com

Published: 22/05/2018I'm very new to Machine Learning and as a part of learning, I've been trying to build a system that recommends the best team composition for a sports team from list of all available players. Try to th ... Read moreSource: datascience.stackexchange.com

Published: 22/05/2018I'm trying to figure out how to decrease the error in my LSTM. It's an odd usecase because rather than classifying, we are taking in short lists (up to 32 elements long) and outputting a series of re ... Read moreSource: datascience.stackexchange.com

Published: 22/05/2018The Tensorflow's documentation of softmax_cross_entropy_with_logits : Measures the probability error in discrete classification tasks in which the classes are mutually exclusive (each entry is in exac ... Read moreSource: datascience.stackexchange.com

Published: 22/05/2018I've found two different approaches online when using the Elbow Method to determine the optimal number of clusters for KMeans. One approach is to use the following code: distortions_2.append(sum(np.m ... Read moreSource: datascience.stackexchange.com

Published: 22/05/2018I need to test cameras wheather they are dusty/dirty or not by testing their images. the task is about classification images either clean or contains some dirt. But i am worry about the most appropria ... Read moreSource: datascience.stackexchange.com
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