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Questions tagged [vgg16]

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19 views

Why is convnet transfer learning taking so long?

I am using transfer learning to train a binary image classification model using keras' pretrained VGG16 model. The code can be found below : ...
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0answers
10 views

GIven some similar pictures,how to detect and mark the differences among these picture by deep learning

Now i have certain images ,they can be classfied into tow groups :right and false .However, two sorts just have small differnece in the detail . (for example ,I possess two maps. Their content is ...
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1answer
49 views

Why/When should I use VGG16 to do fine-tuning? [closed]

Why or When should I use VGG16 in my cnn? what is the pros and cons to use this model? I search but not found this answer. If you have references, I appreciate
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2answers
60 views

CNN implementation low accuracy on MINST data

I'm trying to implement VGG11 (Model A of Table 1 from https://arxiv.org/pdf/1409.1556.pdf) on the MINST dataset but I'm getting ~10% train & test accuracy (as bad as random guessing). I had to ...
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0answers
16 views

VGG style transfer fails with pre-computed `vgg19.preprocessing()` for the content, transfer, style inputs

I'm working through the style transfer tutorial on tensorflow, see: style transfer I made a few adjustments to my notebook, but it works fine for the base case: [ content_image | transfer_image | ...
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1answer
55 views

How can I increase my accuracy avoiding overfitting? CNN-Keras-VGG16

As I asked in this question: Why are my predictions bad, if my accuracy in train is roughly 100% (Keras CNN) , my problem was Overfitting, so, I reduce the number of layers, and now I have this model: ...
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1answer
51 views

How to fine tuning VGG16 with my own layers

I want to maintain the first 4 layers of vgg 16 and add the last layer. I have this example: ...
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0answers
10 views

How to find which patch in orignal image does an activation correspond to in vgg net after the final pooling layer

So I am working on the NeurIPS 2019 reproducibility challenge, The link to the paper is https://arxiv.org/abs/1806.10574. So basically we have a vgg-16 net with the final fully-connected layers ...
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2answers
139 views

Why are my predictions bad, if my accuracy in train is roughly 100% (Keras CNN)

In my CNN i have to handle 2 classes in a binary system, I have 700 images each class to train, and others to validation. This is my train.py: ...
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0answers
11 views

Removing layers from a convolutional encoding-decoding network

I've been reading this paper on Style-transfer (Universal Style Transfer via Feature Transforms): A crucial part of the algorithm (Section 3.3) uses a pre-trained VGG-19 network as an encoder to ...
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1answer
29 views

Can I save only some VGG19's layers into a .H5 file?

I am training a deep-learning style transfer model with the pretrained-VGG19 CNN. My aim is to use it in my Android app for personal purposes with Google Firebase Machine Learning Kit (which would ...
1
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1answer
99 views

How to increase the accuracy of my predictions (CNN fine tuning VGG16 KERAS)

In my VGG16 fine-tuning, I have to classify retinal images in 2 classes (or 4th stage or not 4th stage) and I have 700 images each class to train. This is my code now: ...
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2answers
60 views

vgg16 needs less epochs than resnet ,why?

Recently i Have been comparing the vgg16 with resnetv1 with 20 layers.I have found out that although each epoch on vgg takes more time to complete,it generally needs less epoch to reach a certain ...
0
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1answer
216 views

Transfer learning VGGish (AudioSet). Impact of zero padding to fit the input size

I am trying to train a network on top of the VGGish architecture (https://github.com/tensorflow/models/tree/master/research/audioset/vggish), using (transfer learning) finetuning. I initially started ...
0
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1answer
38 views

How to find the class name of a new image from the pre-trained model

I would just like to get the class names of the predictions. I can get the class names on the images that I trained the model. But if I predict an image (say which is not trained but already belongs ...
3
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2answers
776 views

Is Faster RCNN the same thing as VGG-16, RESNET-50, etc… or not?

My understanding is that Faster RCNN is an architecture for performing object detection. It finds objects in an image and classifies them. My understanding is also that VGG-16, RESNET-50, etc... also ...
0
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1answer
9 views

Key pixels, key “features” detection in CNNs

I am working on a dataset but I don't know what the labels mean. I was wondering if using CNNs there was a way to understand which pixels where most significant for the network. A little bit in the ...
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0answers
404 views

Improve accuracy of Keras multiclass image classification with pretrained VGG16 conv_base

In the moment, I'm training my first "larger" image classification model with Keras (22 classes, 2000 train samples, 500 val samples each class). I use a pretrained model (VGG16). My current model is ...
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0answers
134 views

Places365 for pytorch

I'm trying to use Places365 (the Vgg implementation) in PyTorch. I downloaded the model and the weights from the repo. The Vgg16 version of Places365 found in the official Github repo contains a ...
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3answers
593 views

Neural Network Model using Transfer Learning not learning

I am a beginner in Deep Learning and working on Road Crack detection using transfer learning. I am working on binary classification with two classes , crack and no crack. My distribution of two ...
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0answers
51 views

How to apply only 3 layers of a network to a data

I want to use the 3rd layer's output of the VGG16 network. The error is like below: ...
2
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1answer
53 views

How to calculate $\phi_{i,j}$ in VGG19 network?

In the paper Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network by Christian Ledig et al., the distance between images (used in the loss function) is calculated from ...
1
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1answer
1k views

How to save prediction values for the whole data in Keras

I am using pre-trained VGG16 model to classify images located in the folder. Currently, I am able to classify only one single image. How can I modify the code to classify all the images in the ...
0
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1answer
70 views

Image features (produced by VGG19) do not properly train an ANN in Keras

I've used a VGG16 network to extract features from an image dataset, creating a features dataset using the following code: ...
3
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1answer
992 views

Overfitting in CNN

I am training a VGG net on STL-10 dataset I am getting Top-5 validation accuracy about 98% and Top-1 validation accuracy about 83% But both the Top-1 and Top-5 Training accuracy is reaching 100% ...
3
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2answers
399 views

Is this an over-fitting case?

I'm a new programmer and this is my first ever neural network for real world application. Here is the deal, I'm using a top-less pre-trained VGG-16 with some dense layers on top of it.(for image ...
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2answers
6k views

Why is input preprocessing in VGG16 in Keras not 1/255.0

I am just trying to use pre-trained vgg16 to make prediction in Keras like this. ...
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2answers
1k views

How to understand conv layer to another same conv layer in VGG16?

VGG16 struct is: ...