Fashion-MNIST Image Classification using Convolutional Neural Networks : Novel Machine Learning and Deep Learning Approaches for Fashion-MNIST Image Classification

Image classification  is a subdomain of computer vision and can be solved by different  machine learning and deep learning  algorithms.  Image Classification is the task of assigning  an input  image one label from a fixed set of categories.  In computer  vision Convolutional Neural Networks (CNN or ConvNet) are the default  and most popular deep learning  model used for image classification.  This book investigates the impact of various Hyper-Parameter  Optimization (HPO) methods  and  regularization  techniques  with deep neural  networks  on Fashion-MNIST (F-MNIST) dataset which is proposed by Zalando Research.