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Published: 23/09/2018I'm facing a problem with a pandas dataframe. Actually my Dataframe contains 3 columns: DATE_TIME, SITE_NB, VALUE. For some SITE_NB there are missing rows. For example: DATE_TIME;SITE_NB; VALUE 20110 ... Read moreSource: datascience.stackexchange.com


Published: 23/09/2018I trained a very simple neural network to figure out some features from an image. it's something like a reverse graphic. The neural Network will receive an image and try to estimate its features. The ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018I have built this network for text classification: model = Sequential() model.add(Embedding(vocabulary_dim, 150, input_length=max_length)) model.add(LSTM(150, return_sequences=False)) model.add(Dense( ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018I have about 6 months of experience in building and using Neural Networks with no prior/formal training. As I explore this field further, I see a lot of discussions about determining how many layers/n ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018I am working on CT scan images and I want to extract a small patches from nodule location of scans, for example (16,40,40)(z,y,x), sometimes the location are on the corners and cannot get the desired ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018So let's say you have determined the optimal number of layers/neurons for your neural network. When it comes time to retrain your network with new data values (the inputs are the same, just newer dat ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018How to plot mean_train_score and mean_test_score values in GridSearchCV for C and gamma values of SVM?? Read moreSource: datascience.stackexchange.com

Published: 23/09/2018Just like this (which stopped updating) that shows the newest deep learning methods utilized in image recognition, is there some similar lists/summaries (in blog posts/paper/competitions etc.) about n ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018I was analyzing the classifier created using a decision tree. There is a tuning parameter called max_depth in scikit's decision tree. Is this equivalent of pruning a decision tree? If not, how could I ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018I'm trying to fit my Logistic Regression model, but I'm running into an error that I don't understand. Looked around and haven't found a straight answer. Shape of independent features (X): (495,30) Sh ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018Hi Deep Learning researchers and engineers, Does anyone have experience in Siamese Network regarding the training data size? How many pairs of image do I need to train a Siamese Network? And what kind ... Read moreSource: datascience.stackexchange.com

Published: 23/09/2018I'm curious to know if feature selection and/or feature reduction techniques exist, which are linear on number of data $n$ and on number of dimensions $d$ . References and source code are very welcome ... Read moreSource: datascience.stackexchange.com

Published: 22/09/2018This book, initially written for chemical engineers, is actually very interesting for data scientists and machine learning engineers alike. For more free books, visit this page .… Read moreSource: www.datasciencecentral.com

Published: 22/09/2018So I stumbled upon Andrew Ng course on 1x1 convolutions . There he explains that you can use 1x1x192 convolution to shrink it. But when I do input_ = torch.randn([28, 28, 192]) filter = torch.zeros([1 ... Read moreSource: datascience.stackexchange.com

Published: 22/09/2018I'm studying some event for a set of objects that can be plotted on a square $[0, 100] ^ 2$ . I have used logistic regression to calculate probabilities that event occur for different objects and the ... Read moreSource: datascience.stackexchange.com

Published: 22/09/2018When I am training and evaluating classifiers or hyperparameter tuning I don't like to look at precision and recall metrics alone because those numbers depend on a threshold that I will set afterwards ... Read moreSource: datascience.stackexchange.com

Published: 22/09/2018Video card: gtx1070ti 8Gb, batchsize 64. I had such UNET with resnet152 as encoder wich worket pretty fine: class UNetResNet(nn.Module): def __init__(self, encoder_depth, num_classes, num_filters=32, ... Read moreSource: datascience.stackexchange.com

Published: 22/09/2018My question is similar to this topic. I was watching this lecture on bounding box prediction by Andrew Ng when I started thinking about output of yolo algorithm. Let's consider this example, We use 19 ... Read moreSource: datascience.stackexchange.com

Published: 22/09/2018I think I did not understand what is the difference between DQN and DDQN in implementation. I understand that we change the traget network during the running of DDQN but I do not understand how it is ... Read moreSource: datascience.stackexchange.com

Published: 22/09/2018I read an article this morning, about a top Cornell food researcher having 13 studies retracted, see here . It prompted me to write this blog. It is about data science charlatans and unethical researc ... Read moreSource: www.datasciencecentral.com
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