FMNIST Classification using CNN and RNN

Fendy Hendriyanto and Team

• Introduction

  Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits. The MNIST dataset (arguably) is the dataset most often used as a starting point for image classification learning. The scientific data community likes this dataset and uses it as a benchmark to validate their algorithms. MNIST is often the first dataset that researchers try.

  "If the algorithm cannot work with MNIST, the algorithm will not work for other data sets. If the algorithm works with MNIST, a good start, but that does not mean it can work for other data sets."

  Label	Description
  0	T-shirt/top
  1	Trouser
  2	Pullover
  3	Dress
  4	Coat
  5	Sandal
  6	Shirt
  7	Sneaker
  8	Bag
  9	Ankle Boot

  

  You can download the dataset in Kaggle or the link below :

  Name	Content	Examples	Size	Link	MD5 Checksum
  train-images-idx3-ubyte.gz	training set images	60,000	26 MBytes	Download	8d4fb7e6c68d591d4c3dfef9ec88bf0d
  train-labels-idx1-ubyte.gz	training set labels	60,000	29 KBytes	Download	25c81989df183df01b3e8a0aad5dffbe
  t10k-images-idx3-ubyte.gz	test set images	10,000	4.3 MBytes	Download	bef4ecab320f06d8554ea6380940ec79
  t10k-labels-idx1-ubyte.gz	test set labels	10,000	5.1 KBytes	Download	bb300cfdad3c16e7a12a480ee83cd310

  • Content

    Each image is 28 pixels in height and 28 pixels in width, for a total of 784 pixels in total. Each pixel has a single pixel-value associated with it, indicating the lightness or darkness of that pixel, with higher numbers meaning darker. This pixel-value is an integer between 0 and 255.The training and test data sets have 785 columns. The first column consists of the class labels (see above), and represents the article of clothing. The rest of 784 columns (1-785) contain the pixel-values of the associated image.

  • Usage

    Use Google Colab if you have problem with your library Tensorflow or Keras. For complete installation details and load dataset, you can check Github Zalando.

  • Method

    In this Method, for classification using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). For this theory you can see in Medium.