Inception V2

Reproducing Classic Backbone Networks Based on PyTorch

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Reproducing Classic Backbone Networks Based on PyTorch

Click on the above“Beginner Learning Vision”, select to add “Star Mark” or “Top” Heavyweight content delivered at the first time Author: helton_yan@CSDN (Authorized)Source: https://blog.csdn.net/SESESssss/article/details/114340066 Abstract This article reproduces the classic Backbone structures Inception v1, ResNet-50, and FPN, and shares some network building tips based on PyTorch, very detailed and informative! >> Join the Extreme City … Read more

A Deep Dive into GoogLeNet: Evolution from Inception v1 to v4

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A Deep Dive into GoogLeNet: Evolution from Inception v1 to v4

In 2014, GoogLeNet and VGG were the two leading models in that year’s ImageNet competition (ILSVRC14), with GoogLeNet taking first place and VGG second. A common feature of these two model architectures is their increased depth. VGG inherits some structural elements from LeNet and AlexNet, while GoogLeNet made bolder structural attempts. Although it has only … Read more

Optimizing Neural Networks with MorphNet from Google AI

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Optimizing Neural Networks with MorphNet from Google AI

Compiled by Yu Yang | QbitAI Official Account Want to adjust your neural network to complete specific tasks? It’s not as simple as it seems. Deep Neural Networks (DNNs) are great building blocks, but moving them can be very costly in terms of computational resources and time. Now, Google AI has released MorphNet. After testing … Read more