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We create a model for image classification using the feed-forward network. The feed-forward network is the first and simple type of deep learning network. It is a classification algorithm. In this network, information moves only forward not from a cycle.

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deep-learning mnist-image-dataset image-classification tensorflow keras

fashion_mninst_image_classification's Introduction

Fashion_mninst_image_classification

In this project, I created image classification using feed forward network on fashion mnist data which I have implemented using TensorFlow and Keras.

If you want to more clear explonation, see my blog {Fashion Mnist Image Classification using Deep Learning for Beginners](https://techyscientists.blogspot.com/2021/08/fashion-mnist-image-classification.html)

Installation

To run the web app on your local computer, install the required libraries, These packages are included in requirement.txt. In this project used Python3.8.0. Run the following command in terminal to install the required packages.

pip install -r requirement.txt

or

if you use jupyter notebook run the following command in anaconda prompt terminal to install the required packages.

conda install --file requirements.txt

Getting Started

We create a model for image classification using the feed-forward network. The feed-forward network is the first and simple type of deep learning network. It is a classification algorithm. In this network, information moves only forward not from a cycle.

License

MIT License

Thank you

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