MehrabKalantary / CNN-Fashion-MNIST

Building a Convolutional Neural Network on fashion MNIST dataset

CNN on Fashion MNIST Dataset

Dataset on kaggle

Contents

Data Cleaning

In this part we just load and reshape the dataset

Data Preprocessing

• Scaling
• Encoding

Modeling

1. First block

   • Zero padding layer
   • Convolution layer with 32 kernels
   • Batch normalization layer
   • Dropout layer
   • Max pooling layer

2. Second block

   • Zero padding layer
   • Convolution layer with 64 kernels
   • Batch normalization layer
   • Dropout layer
   • Max pooling layer

3. Third block

   • Flatten layer
   • Dense layer with 128 units
   • Dropout layer
   • Dense layer with 10 units

We use adam optimizer and categorical cross entropy as loss

Evaluation

• Accuracy plot

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• Classification report (91% accuracy)

• Confusion matrix

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