Useful tips for everyday
How do you find the output of a layer? Use layer. Then call keras. backend. function(input_list, output_list) where input_list is the input to the model,…
Which algorithm is used to deal with missing data? KNN is a machine learning algorithm which works on the principle of distance measure. This algorithm…
What is the purpose of regression in analyzing data? Regression analysis is a reliable method of identifying which variables have impact on a topic of…
What is Tokenizer CountVectorizer? The tokenizer should be a function that takes a string and returns an array of its tokens. However, if you already…
What is a matrix-vector product? We define the matrix-vector product only for the case when the number of columns in A equals the number of…
What is entropy in neural network? TL;DR: Entropy is a measure of chaos in a system. Because it is much more dynamic than other more…
What if my errors are not normally distributed? If the data appear to have non-normally distributed random errors, but do have a constant standard deviation,…
What are convolutional channels? A convolution is how the input is modified by a filter. In convolutional networks, multiple filters are taken to slice through…
How does the MNIST dataset look like? In a random point – a random 28×28 image – each pixel is randomly black, white or some…
Why do we use dense layers? Dense layer is the regular deeply connected neural network layer. It is most common and frequently used layer. Dense…