- Inside the Repository, you'll find implementations of both a Quantum Neural Network and a Classical Convolutional Neural Network designed for performing classification tasks using the well-known 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.
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