Generative models are becoming a promising tool in AI alongside discriminative learning. Several models have been proposed to learn in an unsupervised fashion the corresponding generative factors, ...

The Windows version of the Python interpreter can be run from the command line the same way it’s run in other operating systems, by typing python or python3 at the prompt. But there’s a feature unique ...

Abstract: Here, we propose a method for recognition of handwritten English digit utilizing discrete cosine space-frequency transform known as the Discrete Cosine S-Transform (DCST). Experiments have ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

Abstract: MNIST handwritten digit dataset is one of the most popular datasets in the filed of machine learning and pattern recognition, whereas several other datasets have also been synthesized using ...

EMNIST dataset from https://www.nist.gov/itl/products-and-services/emnist-dataset has 240000 images, but C++ PyTorch has hardcoded to load only the 60000 dataset. The ...

I tried running the notebook using CPU cluster (as mentioned in the notebook) -Standard_DS12_v2 (4 cores, 28 GB RAM, 56 GB disk) - 4nodes as well as GPU cluster (Standard_NV6 (6 cores, 56 GB RAM, 380 ...

Many systems of handwritten digit recognition built using the complete set of features in order to enhance the accuracy. However, these systems lagged in terms of time and memory. These two issues are ...