Useful tips for everyday
What is the difference between Deep Learning and convolutional neural network? Deep is more like a marketing term to make something sounds more professional than…
Is meta-analysis theoretical research? The next section describes the process of meta-analysis as a theory-building method. Although meta-analysis has been widely recognized as a powerful…
How is the standard deviation related to the standard error and the sample size? The smaller the standard error, the more representative the sample will…
How do you find the partial differential equation? Solving PDEs analytically is generally based on finding a change of variable to transform the equation into…
What is the relationship between percentile ranks and percentiles? In common use, the percentile usually indicates that a certain percentage falls below that percentile. For…
How to account for errors with a non-normal distribution? If the data appear to have non-normally distributed random errors, but do have a constant standard…
How to calculate correlations with categorical variables in R? Nominal vs. Nominal: run a chi-squared test. In R, you use ?chisq.test. Effect size (strength of…
Does batch norm improve performance? Using batch normalization makes the network more stable during training. This may require the use of much larger than normal…
Is cross entropy loss symmetric? Cross-entropy isn’t symmetric. The more different the distributions p and q are, the more the cross-entropy of p with respect…
How many hidden layers should I use in MLP? There is currently no theoretical reason to use neural networks with any more than two hidden…