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A multi-class classification problem solved using deep learning techniques to get hands on classification problem in neural networks. Python language module Tensorflow is used to get the dataset from keras.datasets api.

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developer-hassan/fashion-mnist-deep-learning-classification

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fashion-mnist-deep-learning-classification

Project Introduction

Fashion-MNIST data is one of the famous problems being solved by the deep neural networks. Here we use the dataset from keras.datasets api and solve the multi-class classification problem using TensorFlow.

Dataset Requirement

There is no need to download the dataset externally as we can import the dataset from keras dataset's api.

Libraries used

Following are the Python libraries used in project:

  1. tensorflow
  2. keras api
  3. numpy
  4. pandas
  5. matplotlib
  6. sklearn

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A multi-class classification problem solved using deep learning techniques to get hands on classification problem in neural networks. Python language module Tensorflow is used to get the dataset from keras.datasets api.

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