Convolutional Neural Networks for MNIST Data Using PyTorch Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to ...

In addition to CNN, other models can be considered to combine with multilevel feature fusion algorithms, such as recurrent neural networks (RNN) or graph convolutional networks (GCN), to further ...

A subsequent article, “ Training convolutional neural networks ” discusses how CNN models are trained. Part 3 will examine a specific use case to test the model using a dedicated AI microcontroller.

The table includes neural-network parameters, input resolution, and the associated processing demands for four example models for informational and comparison purposes.

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...