All Questions

I would like to solve the following classification problem: Given an input sequence and zero or more initial terms of the true output, predict the next term in the output sequence. For example, my ...

I'm trying to do a regression analysis with two different datasets. One of them has 965 samples and the other 2275. I wish to downsample the latter to 965. Please suggest ways to do so. Thank you!

Let's say, I have a convolution layer with: 3 input channels $X$ with dimensions 3x32x32 5 kernel filters $F$ with dimensions 3x7x7 Assuming the stride = 1, the layer produces an output $O$ with ...

I have used a few regression models on the same dataset and obtained error metrics for them as shown below, The RMSE(Root Mean Squared Error) and MAE(Mean Absolute Error) for model A is lower than ...

I have a few label data for training and testing a DNN. Main purpose of my work is to train a model which can do a binary classification of text. And for this purpose, I have around 3000 label data ...

With respect to this question, https://stackoverflow.com/questions/51895278/how-to-know-when-to-use-fit-generator-in-keras-when-training-data-gets-too-big when memory errors are reported due to ...

AFAIK, there are 4 different types of RNNs based on their application. And these are identified by the size of input sequences they accept and size of output sequences they generate: ...

The rationale behind the keras function ReduceLROnPlateau() is that models benefit from reducing learning rate once learning stagnates. Is it a good practice to ...

Consider the following code: ...

I'm struggling to find a tutorial/example which covers using an seq2seq model for sequential inputs other then text/translation. I have a multivariate dataset with n number of input variables each ...

I have a dataset which has names of compounds and their compositions. Like below Sulphuric Acid=>[H,S,O] (Hydrogen, sulphur, oxygen) Oxalic Acid=>[H,C,O] Sodium Oxalate=>[Na,C,O] Potassium Sulphate=>[...

I am building an RNN using numpy only and have started on the forward propagation section. However i am having some issues aligning my matrices. The issue is on this line: ...

I'd like to get an intuition about how varying k impacts k-fold validation. Is the following right? Average of the OOS MSEs should generally decrease with k Because, a bigger "k" means the training ...

I've been searching around for an explanation to this, and haven't come across one yet- in scikit-learn, when I compute the auc() of the ...

What is the general idea (in layman's terms without technical details) of knowing the nature of content of an article? For example: Whether an article is spam or promotional content, or is a fake news,...

How does (can?) a deep neural network provide a magnitude estimate, rather than simply guessing what category an input belongs to? For example, in guessing the weight of a cat, is there is a ...

I want to compute accuracy of my model on test data. I have three classes so actual output might look like this : [0 1 0] and the predicted output might look ...

I understand that the formula for the gradient of W and U is this: How might I go around programming ds/dst-1 for example?

I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion. I have searched high and ...

I'm creating a classification model from the UCI Flags dataset where the goal is to predict the religion of a country from the features of its flag. I'm using Microsoft Azure Machine Learning Studio ...

I am doing the Kaggle competition House Prices: Advanced Regression Techniques to learn more about data analysis. I would like to apply multiple models to the data(Regularized LR, Random Forests, ...

I'm trying to train a GAN, and the architecture includes a fully connected layer before the output activation function. In my case, by the second training iteration this layer's output always explodes....

i have a dataframe contain session start and end time ...

I m running experiments using benchmark datasets with auto-sklearn to see how its performance is different to the standard sklearn library, Since automl does an exhaustive search over parameters and ...

I am trying to implement the core-means algorithm, which is basically k-means using coreset. I have searched up and down but could not find any libraries or modules which could help me with this. ...

The code: ...

I have a group data frame like this : ...

I have a pre trained Glove word embedding matrix (U) of dimension (400000 * 50). Now for the purpose of query expansion I need to perform the operation matmul(U*U.T). This is the term by term ...

I need to read data from csv file and then first partition that data into features and labels and then into training and testing set. However, there are several issues cropping up again and again. ...

I'm learning principal component analysis and i have to derive the result that will minimize the error $$c^* = \arg \min{[x-g(c)]^2} = \arg \min{[x-g(c)]^\mathsf{T}[x-g(c)]}$$. What I have done so ...

A table fitness in R has three columns. I am trying to get the mean value of them for each row, so I use this piece of a code: ...

I am working on a project for predicting the number of DNS queries from the site: DNS queries statistics. The data I use is minutely data, which means the number of DNS queries of every minute. If ...

I am trying to make a face/head detection model using YOLO and darkflow. In order to do this I need a set of images peoples face annotated in Visual Object Class, VOC format. I would prefer data set ...

As you can see this code generate that picture: ...

In Chapter 7.3 of Reinforcement Learning: An Introduction by Sutton and Barto, the off-policy pseudocode has the following update equation for $Q$: Compute importance sampling ratio: $$ \rho \...

I want to create a neural net that can obtain some specific words from a pdf document into JSON or XML. For example let's assume that I have a pdf containing some information about countries and i ...

I am going through the tutorial at the link below which uses MNIST handwritten digit database. https://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-...

In the pytorch docs, it says for cross entropy loss: input has to be a Tensor of size (minibatch, C) Does this mean that for binary (0,1) prediction, the input must be converted into an (N,2) ...

In the pytorch docs, it says for cross entropy loss: input has to be a Tensor of size (minibatch, C) Does this mean that for binary (0,1) prediction, the input must be converted into an (N,2) ...

Suppose I have 3 csv files which forms the dataset for training a machine learning model in Keras. file1.csv ...

I want to use vgg16 to train a dataset that contains images. Can I use fit() function instead of fit_generator() in Keras? How?...

I build a CNN model using keras on the cat vs dog dataset. Now what I want is with the image classification my model should also locate that animal on that image. I searched on web and found that YOLO ...

When determining the baseline performance using a persistent or naive model I understand it to be using the value of the previous time step as the prediction for the next time step and then ...

I'm doing Data Analyst nanodegree from udacity. I'm confused between the difference even after going through the lecture a few times.

I'm implementing a linear regression to compare users (categorical variable) to a percent difference (target variable and continuous). When I was using linear_models from sci-kit learn (python), the ...

Suppose we have predefined list of tags Tag #1, Tag #2, ..., Tag #N and we want to assign ...

I have a question regarding neural networks considering I am not an expert in NN. Assume have a 5 by 5 grid that depending on me pushing any square (or combination of squares) some of those squares (...

I'm extremely new to machine learning. I recently discovered turicreate and wanted to use it on a project to classify data spit out by the accelerometer and ...

I am working on stock data with 5 raw features (OHLCV). Using few transformations used by technical analysts, have created 20 more features giving different kinds of indications. When trying to ...

I am following google codelab: Tensorflow for poet to train my custom model. This google codelab use the Inception-V3 model for training. The inception-V3 model have 48 layer. My question is that ...