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  1. medium.com › ching-i › inception-系列-inceptionv2-inceptionv3-93cd42054d23Inception 系列 — InceptionV2, InceptionV3 | by 李謦伊 - Medium

    7 de nov. de 2020 · 之前有介紹過 InceptionV1 的架構，本篇將要來介紹 Inception 系列 — InceptionV2, InceptionV3 的模型. “Inception 系列 — InceptionV2, InceptionV3” is published by 李謦 ...

  2. pytorch.org › vision › maininception_v3 — Torchvision main documentation

    inception_v3. Inception v3 model architecture from Rethinking the Inception Architecture for Computer Vision. Important: In contrast to the other models the inception_v3 expects tensors with a size of N x 3 x 299 x 299, so ensure your images are sized accordingly. weights ( Inception_V3_Weights, optional) – The pretrained weights for the model.

  3. miai.vn › 2020/11/17 › tim-hieu-va-thu-transfer-learning-google-inception-net-voiTransfer Learning mạng Inception Net V3, Car Image ... - Mì AI

    Phần 2 – Xây dựng bài toán phân loại ảnh bằng InceptionNet v3. Ở đây mình dùng kỹ thuật Transfer Learning nhé, giống như những gì mình đã làm với bài toán nhận diện tiền Việt Nam bằng VGG16 ấy. Transfer Learning là kiểu như “chuyển giao công nghệ ấy” mà các bạn.

  4. pytorch.org › vision › masterInception V3 — Torchvision main documentation

    Inception V3¶ The InceptionV3 model is based on the Rethinking the Inception Architecture for Computer Vision paper. Model builders¶ The following model builders can be used to instantiate an InceptionV3 model, with or without pre-trained weights. All the model builders internally rely on the torchvision.models.inception.Inception3 base

  5. arxiv.org › abs › 1512Rethinking the Inception Architecture for Computer Vision

    2 de dic. de 2015 · View a PDF of the paper titled Rethinking the Inception Architecture for Computer Vision, by Christian Szegedy and 4 other authors ... 10 Dec 2015 19:34:38 UTC (220 KB) [v3] Fri, 11 Dec 2015 20:27:50 UTC (228 KB) Full-text links: Access Paper: View a PDF of the paper titled Rethinking the Inception Architecture for Computer Vision, by Christian ...

  6. paperswithcode.com › lib › torchvisionInception v3 | Papers With Code

    Summary Inception v3 is a convolutional neural network architecture from the Inception family that makes several improvements including using Label Smoothing, Factorized 7 x 7 convolutions, and the use of an auxiliary classifer to propagate label information lower down the network (along with the use of batch normalization for layers in the sidehead).

  7. blog.csdn.net › ximu__l › articleInception结构详解(从V1到V4，再到xcpetion)-CSDN博客

    13 de mar. de 2023 · Inception v3. Inception v3来自论文《Rethinking the Inception Architecture for Computer Vision》，论文中首先给出了深度网络的通用设计原则，并在此原则上对inception结构进行修改，最终形成Inception v3。 深度网络的通用设计原则. 避免表达瓶颈，特别是在网络靠前的地方。

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