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Deep Learning
Deep Learning: GoogLeNet Explained
One of the initial convolutional neural network that dared to go deeper
GoogLeNet is a 22-layer deep convolutional neural network that’s a variant of the Inception Network, a Deep Convolutional Neural Network developed by researchers at Google.
The GoogLeNet architecture presented in the ImageNet Large-Scale Visual Recognition Challenge 2014(ILSVRC14) solved computer vision tasks such as image classification and object detection — find out how well it performed at the conclusion section of this article.
Today GoogLeNet is used for other computer vision tasks such as face detection and recognition, adversarial training etc.
What to expect: This article explores the architectural details of the GoogLeNet network.
Who is this article for?
Deep learning practitioners of all levels can follow the contents and information presented in this article with relative ease. There are definitions and clear explanations wherever technical terms are introduced.