Convolution-based image classification and recognition (4): GoogLeNet (V1~V4 & Xception) - Code World

Convolution-based image classification and recognition (4): GoogLeNet (V1~V4 & Xception)

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Origin blog.csdn.net/qq_39297053/article/details/130667442

Convolution-based image classification and recognition (4): GoogLeNet (V1~V4 & Xception)

Convolution-based image classification and recognition (1): AlexNet

Convolution-based image classification and recognition (7): SENet

Big talk CNN classic model: GoogLeNet (evolution from Inception v1 to v4)

2. CNNs network architecture - convolution separation network architecture (VGGNet, GoogLeNet, GoogleNet v2, GoogleNet v3, GoogleNet v4, Inception-ResNet)

Image Classification - GoogLeNet

Machine learning notes - image classification based on keras + small Xception network

From Inception v1, v2, v3, v4, RexNeXt to Xception to MobileNets, ShuffleNet, MobileNetV2

4. CNNs network architecture - depth separable convolution (MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2)

Graduation - Image Recognition waste classification system based on the first week plan

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GoogLeNet（Inception V1）

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Face identity recognition matlab simulation based on Googlenet deep learning network

Matlab simulation of animal species recognition algorithm based on googlenet network

Image recognition based on Python

OpenCV 4] [image convolution (Blur)

Inception-v1~v4

[Python from zero to one] Sixty-seven. Image recognition and classic cases: MNIST image classification based on convolutional neural network

Handwriting classification model-GoogLeNet (Inceptionv1)

Deep learning practical basic case - Convolutional neural network (CNN) cat and dog recognition based on Xception | Case 2

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Realize image recognition based on face_recognition

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