With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image classification ...

In this example, we demonstrate how to build and train a deep neural network for image classification using PyTorch on the MNIST dataset. The example includes a Python code that guides you through the ...

In Savic dataset, 21 pairs of images with format jpg are taken indoors, and 6 pairs of images with format bmp are used for MIF algorithm testing. In Aymaz dataset, the 150 multi-focus images are ...

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 ...