Questions tagged [inceptionresnetv2]

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Using vgg16 or inception with wights equals to None

When using pre-trained models like vgg16 or inception, it seems that one of the benfits of using pre-trained model, is to save ...
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1answer
52 views

What does the phrase 'underlying mapping' mean?

In a paper by KaimingHe entitled Deep Residual Learning for Image Recognition, there is a phrase 'underlying layer'. What does this mean?
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1answer
41 views

Transfer Learning on Resnets/VGGs — Validation accuracy can never be over 75%

I am trying to classify skin cancer images into two categories -- malignant and benign. Literatures suggest that using pre-trained resnet/vgg network achieves more than 90% accuracy. However, with my ...
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1answer
26 views

Error after merging two Deep Learning models VGG16 and ResNet50

I have merged two different models namely VGG16 and ResNet50 and given the outputs of the two models as input to another model. I have checked the Layers graph is correct. Before merging the code was ...
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2answers
30 views

what is the largest network used for image recognition/segmentation?

What is the largest network (in number of params and layers) considered in the literature for image recognition/segmentation task? I am in particular interested in ResNet architectures. Any ...
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2answers
42 views

Is it possible the model be better on a few epochs rather than hundreds of epochs?

I have very interesting experience in my CNN binary image classification. Do you think the result is by chance or there is a logic behind it? I used InceptionV3 transfer with softmax (I know you will ...
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0answers
83 views

ResNet50 Overfitting even after Dropout

I have a dataset with 60k images in three categories i.e nude, sexy, and safe (each having 30k Images). I am using ResNet50 and observed that the training accuracy and validation accuracy is ok (...
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1answer
112 views

I'm trying to build a ResNet 18 model for Cifar 10 dataset, but I'm not able to fit the data dimension

At avergae pooling after the ConvNet, the error is displayed as the dimensions cannot be negative because the shape the previous output layer is 1,1,512 and on this the maxpooling cannot be done. Is ...
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0answers
31 views

Xavier initialisation vs He initialisation

After reading the famous paper, Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification, I understand two things:- He initilization borrows on the benefits of ...
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2answers
27 views

Choosing a set of CNNs for paper

There are so many CNNs out there and I am trying to do a comparison between some of them in my paper. Which networks should I include? Resnet, VGG, and Inception are obvious, but I would like three or ...
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2answers
45 views

Keras Model question for Pre trained model extension

I want to add a few more layers to a Resnet50 model and my question is - do I need to compile it and train it on new data or can I just use it as it is? Will it just give me the Resnet50 results? ...
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0answers
731 views

CNN, sudden drop of accuracy between epochs, steps for improvements?

I am working on a text recognition problem, in which essentially I am trying to read images similar to captchas. I implemented a ResNet in keras and I run it on colab with gpu. Because I cannot ...