In this section, we introduce the MNIST problem and learn how to build a MultiLayer Perceptron (MLP) network using Caffe2 to solve it. We also learn how to load pretrained parameters into the network and use it for inference.
Building a multilayer perceptron neural network
MNIST problem
The MNIST problem is a classic image classification problem that used to be popular in machine learning. State-of-the-art methods can now achieve greater than 99% accuracy in relation to this problem, so it is no longer relevant. However, it acts as a stepping stone for us to learn how to build a Caffe2 network that solves a real machine learning problem.
The MNIST problem lies in identifying the handwritten digit that is present in a grayscale...
