- The Repository contains implementation of Quantum Neural Network as well as Classical Convolutional Neural Network for Classification Task on the popular Fashion MNIST dataset.
- For the Quantum Implementation, TensorFlow-Quantum and Cirq are used.
- For the Classical Implementation, TensorFLow 2.x and TensorBoard are used.
- The Jupyter Notebooks are developed in Google Colab.
- The TensorBoard Visualization used in Classical Implementation may or may not work in other environments like Kaggle. Therefore, it is recommended to run it in Google Colab.
- The Repository contains weights for trained Classical and Quantum Models.
classification-on-fashion-mnist-with-tensorflow-tensorflow-quantum-and-cirq's Introduction
classification-on-fashion-mnist-with-tensorflow-tensorflow-quantum-and-cirq's People
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