Guide to Deep Learning Model Training and Quantization

Table of ContentAn OverviewSetting Up the EnvironmentMNISTBuild the ModelTrain the Model in FP32Quantize the Model to INT8Final Implementation and OutputEvaluate the Quantized ModelComparing FP32 and INT8 ModelsPerformanceAccuracyModel SizeConclusionAn Overview

In this OpenGenus article, I will be guiding you through training a sample convolutional neural network (ConvNet) with 5 convolutional layers for a specific task. The twist? We'll be exploring both FP32 (32-bit floating...