In this repository you can find out how to implement CNN in Tensorflow/Keras for multiclass classification.
Dataset used in this project is MNIST dataset. You can download it by using built-in TensorFlow functions. For more explanation open the .ipynb file.
- Python version used in this project: 3.5+
- TensorFlow 1.2.0
- Numpy 1.10.4
- Time
- tqdm 4.15.0
The tensorflow version of CNN is inside CNN_tensorflow_classification.ipynb.
The Keras version is insider Keras_cnn.ipynb.
To run this project you will need some software, like Anaconda, which provides support for running .ipynb files (Jupyter Notebook).
After making sure you have that, you can run from a terminal or cmd next lines (Example for Keras version):
ipython notebook Keras_cnn.ipynb
or
jupyter notebook Keras_cnn.ipynb
MIT License
Copyright (c) 2017 Luka Anicin
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