In this video, how to use quantum neural network approach for classification of handwritten digits (numbers) is narrated with a brief explanation on classical neural network (covering both DNN & CNN).
🍕 References for Classical Neural Network 🍕
https://www.youtube.com/watch?v=aircAruvnKk
http://neuralnetworksanddeeplearning.com/chap1.html
https://cs.nju.edu.cn/wujx/paper/CNN.pdf
🍕 References for Quantum Neural Network 🍕
https://qiskit.org/textbook/ch-machine-learning/machine-learning-qiskit-pytorch.html#quantumlayer
https://pennylane.ai/qml/videos.html
https://www.youtube.com/watch?v=eShyPOLIfYk
https://www.youtube.com/watch?v=-o9AhIz1uvo
https://ai.googleblog.com/2020/03/announcing-tensorflow-quantum-open.html
🍕 Contents of this video 🍕
00:00 - Introduction
00:02:45 – Classical Neural Network
00:23:50 – Quantum Neural Network
00:32:00 – Explanation & Running the code
