0
votes
0answers
7 views

Predict output sequence one at a time with feedback

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 ...
0
votes
0answers
6 views

Down-sampling the data

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!
0
votes
0answers
5 views

Error with respect to kernel weights in convolutional layer

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 ...
0
votes
1answer
6 views

High RMSE and MAE and low MAPE

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 ...
0
votes
0answers
3 views

Resource and useful tips on Transfer Learning in NLP

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 ...
0
votes
1answer
14 views

When memory errors occur with model.fit(), is it due to GPU RAM or normal RAM?

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 ...
0
votes
0answers
5 views

How many actual cells are there in an RNN?

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: ...
0
votes
0answers
3 views

Is it a good practice to always apply `ReduceLROnPlateau()`, given that models benefit from reducing learning rate once learning stagnates?

The rationale behind the keras function ReduceLROnPlateau() is that models benefit from reducing learning rate once learning stagnates. Is it a good practice to ...
1
vote
0answers
7 views

Understanding the effect of num_words of Tokenizer in Keras

Consider the following code: ...
2
votes
1answer
10 views

Is this a problem for a Seq2Seq model?

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 ...
1
vote
1answer
5 views

Predicting Composition of Chemical Compounds

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=>[...
2
votes
0answers
11 views

Matrix multiplication issue (shapes not alligned)

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: ...
2
votes
1answer
9 views

K-fold crossvalidation: how do MSE average and variance vary with K?

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 ...
2
votes
0answers
9 views

Scikit-learn average_precision_score() vs. auc score of precision_recall_curve()

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 ...
1
vote
0answers
13 views

Determining nature of content in an article [on hold]

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,...
2
votes
2answers
15 views

Deep Neural Network: Output a Magnitude, not merely a Category

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 ...
1
vote
1answer
12 views

How to compute accuracy for CNN when outputs are one-hot encoded

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 ...
1
vote
0answers
13 views

How to program derivatives for recurrent weights

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?
1
vote
1answer
8 views

How to count number of word embeddings in Gensim Word2Vec model

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 ...
1
vote
0answers
11 views

Classification of religions in Azure Machine Learning Studio

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 ...
2
votes
2answers
12 views

When should ordinal data be represented catigorically and when as integer?

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, ...
2
votes
0answers
8 views

Fully connected layer output explodes, but weights, gradients, and inputs all have sane values

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....
2
votes
0answers
25 views

Duration in seconds the session lasts

i have a dataframe contain session start and end time ...
2
votes
0answers
4 views

What would be the main and essential criteria for evaluating auto-sklearn library ?

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 ...
2
votes
0answers
5 views

How to find coreset of a given dataset in python?

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. ...
2
votes
0answers
9 views

Handling large word embedding matrix in Python

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 ...
1
vote
1answer
15 views

Partitioning data into features/labels and train/test after reading from csv file

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. ...
2
votes
0answers
15 views

Why is the derivative of the product of a vector and its transpose cTc2 c? [on hold]

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 ...
2
votes
0answers
16 views

`mean` returns NA in R

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: ...
1
vote
1answer
14 views

Train an LSTM neural network with time series containing seasonal and trend

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 ...
1
vote
0answers
6 views

Where to find Facial Visual Object Class

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 ...
0
votes
0answers
11 views

plot and measure uncommon part of kdeplot

As you can see this code generate that picture: ...
2
votes
0answers
9 views

Importance Sampling in Off-policy n-step Sarsa

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 \...
2
votes
1answer
19 views

parse pdf into Json or Xml [on hold]

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 ...
1
vote
1answer
12 views

Is the multilayer perceptron only able to accept 1d vector of input data? If yes, why is this so?

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-...
2
votes
0answers
7 views

How to use Cross Entropy loss in pytorch for binary prediction?

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) ...
1
vote
2answers
15 views

How to use Cross Entropy loss in pytorch for binary prediction?

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) ...
1
vote
0answers
12 views

Input data for this dataset to be feed into keras for training

Suppose I have 3 csv files which forms the dataset for training a machine learning model in Keras. file1.csv ...
0
votes
1answer
7 views

Can I use fit() function with images in Keras?

I want to use vgg16 to train a dataset that contains images. Can I use fit() function instead of fit_generator() in Keras? How?...
1
vote
0answers
12 views

How to implement YOLO in my CNN model?

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 ...
1
vote
0answers
6 views

Naive/ Persistent Models & 7 Day Forecasts

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 ...
1
vote
0answers
7 views

What is the difference between 'if the data if of good quality' and 'if the data is tidy'?

I'm doing Data Analyst nanodegree from udacity. I'm confused between the difference even after going through the lecture a few times.
0
votes
0answers
17 views

Different results for Linear Regression using lm (R) vs linear_model (sklearn-python)?

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 ...
0
votes
1answer
5 views

How to auto tag texts

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

Setting up Neural Network for this problem

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 (...
1
vote
0answers
13 views

Improving the accuracy of my activity classifier

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 ...
2
votes
2answers
13 views

Support Vector classifier perform well with input features rather than transformed features in contrast to ANN-BP, random forest (other classifiers)

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 ...
0
votes
1answer
15 views

how to visualize InceptionV3 hidden layers

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 ...

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