by Michael Stolzer | Nov 22, 2023 | How-To/Tips
A “List” is a built-in data structure in Python that stores all kinds of data (numerical as well as categorical). While working with large Lists in Python, sometimes it becomes difficult to check if the list contains a particular item or not. Therefore, Python offers...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
The Logistic sigmoid function is a well-known function because it can be utilized as an activation function in the neural network. It computes the connection between the outcome i.e. dependent variables and features i.e. independent variables. PyTorch provides various...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
PyTorch is a free-to-use machine-learning library for building/creating and training neural networks. Mean absolute error (MAE) is the average absolute dissimilarity between calculated values and actual values. It is used to estimate the regression model’s...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
Cosine similarity is utilized to find the similarity of two tensors/vectors. PyTorch provides a “torch.nn” module that has a “CosineSimilarity()” function to calculate the cosine similarity between two particular tensors. This function returns the computed cosine...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
The norm of a matrix or vector is a computation of its length/magnitude. In PyTorch, a vector is simply a 1D tensor that has only one dimension whereas a matrix is a 2D tensor that has two dimensions i.e. rows and columns. Sometimes, users may want to calculate the...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
Sine is a basic trigonometric function. While working with tensors in PyTorch, users may want to calculate the sine of each element in the specific tensor. PyTorch provides a “torch.sin()” method to perform this operation. This method accepts a specific input tensor...
