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How to Design a Convolutional Neural Network

Check out the follow-up video: How to Design a Neural Network | 2020 Edition    • How to Design a Neural Network | 2020 Edition   Designing a good model usually involves a lot of trial and error. It is still more of an art than science. The tricks and design patterns that I present in this video are mostly based on 'folk wisdom', my personal experience, and ideas that come from successful model architectures. Deep Learning Crash Course playlist:    • Deep Learning Crash Course   Previous video:    • Convolutional Neural Networks Explained   Highlights: How to choose the number of layers Deeper vs wider models Design patterns and hyperparameters Skip connections ResNet Inception module Fully Convolutional Networks Pointwise convolutions Dimensionality reduction MobileNets Separable convolutions How to choose sliding window stride How to choose pooling parameters How to choose activation function What type of regularization to use How to choose the batch size Further reading: Deep Learning by Ian Goodfellow: http://www.deeplearningbook.org/ CS231n: Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/ Deep Residual Learning for Image Recognition https://arxiv.org/pdf/1512.03385.pdf Fully convolutional networks for semantic segmentation https://www.cv-foundation.org/openacc... Surface Water Mapping by Deep Learning http://www.isikdogan.com/files/isikdo... Network In Network https://arxiv.org/pdf/1312.4400.pdf Rethinking the inception architecture for computer vision https://www.cv-foundation.org/openacc... Mobilenets: Efficient convolutional neural networks for mobile vision applications https://arxiv.org/pdf/1704.04861.pdf