Project Option 1

Convolutional Neural Network

Description

Using PyTorch to implement CNNs (Convolutional Neural Networks). Perform CIFAR (Kaggle) or ImageNet (Wikipedia) as the dataset in your project. You have to implement several CNN models: AlexNet, VGGNet, ResNet, Inception, and DenseNet. Compare and analyze the accuracy results among CNN models.

You can also perform an exercise by changing the dataset with COVID-19 data.

Readings

CNNs (Convolutional Neural Networks)
- Neural Networks Fundamentals, 2021.
- Z. J. Wang, et al. "CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization." arXiv:2004.15004, 2020. Web
- Intuitive Deep Learning : Introduction
- Convolutional Neural Networks for Beginners - Practical Guide with Python and Keras, 2018.
- An Introduction to Convolutional Neural Networks, 2018.
CNN Architectures, Comparison, and Evolution
- Architecture comparison of AlexNet, VGGNet, ResNet, Inception, DenseNet, 2020.
- Evolution of Convolutional Neural Network Architectures, Medium, 2020.
- Eugenio Culurciello, "Neural Network Architectures," Medium, 2017.
COVID : Transfer Learning: COVID-19 from Chest X-Rays Classifier, 2021.

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