The enticing new title courtesy of Packt Publishing, “Machine Learning with PyTorch and Scikit-Learn,” by Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili is a welcome addition to any data ...
The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the ...
Machine learning is an increasingly important tool for developers, providing a way to build applications that can deliver a wide range of prediction-based tasks. In the past you might have had to ...
PyTorch is an open source machine learning framework used for developing deep learning models. Originally created by Meta AI ...
CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...
A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results