by Michael Stolzer | Nov 22, 2023 | How-To/Tips
In PyTorch, the “torchvision.transforms” module has a collection of classes and functions to apply different transformations on desired images including rotating, cropping, resizing, and many more. It provides the “RandomResizedCrop()” method to crop a random area of...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
Binary cross entropy is a logarithmic loss function utilized in machine learning. It computes the difference between the estimated probabilities of a model and actual labels of data. Sometimes, users may need to find/compute the binary cross entropy between two (input...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
In PyTorch, tensors are the fundamental data structure that can have multiple dimensions. Sometimes, users may want to determine the k-th and top “k” elements of a specific tensor in various machine learning, data analysis, and deep learning tasks. PyTorch provides...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
PyTorch is a machine-learning library that offers various modules to work with images. The “torchvision.transforms” module from the PyTorch package has a collection of classes and functions to perform various transformations on images including cropping, resizing,...
by Michael Stolzer | Nov 22, 2023 | How-To/Tips
Bernoulli distribution is commonly used in statistics. It is a discrete probability distribution that conducts the outcome (single or failure) of a specific experiment. Its outcomes are usually labeled as “1” and “0”, where 1 symbolizes “success” and 0 defines...
