Fashion Products Classification using CNN | Deep Learning | Neural Network | Python
In this tutorial we are going to implement a convolutional neural network model on fashion mnist data set. This model identifies that the given image belongs to which category of clothing like shirt, t-shirt, shoes, dress, etc. This is a simple convolutional neural network model. In this project we didn't use transfer learning or a predefined model. We implement our own convolutional neural network architecture with different layers like Conv2D, Dense, MaxPooling2D, etc. After Train the CNN model, this gave me above 90% accuracy on the training data set.
Blog :
Source Code :
#FashionProductsClassification #datasciencetutorials #CNN #datascience2000 #python