All Questions
Tagged with neural-network cnn
344
questions
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9
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Mobilenet vs resnet
Q1-Why dont we remove relu after addition of skip connection in resnet50 like we do in mobile-net v2 for better performance?
Q2-And why dont we have Convolution layer in skip connection for dimention ...
0
votes
1
answer
19
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What is the "fast version" of ZFNet referenced in SPPNet and Faster R-CNN papers?
I'm reading old papers:
SPPNet: Link
Faster R-CNN: Link
In both cases, the authors refer to a "fast version of Zeiler and Fergus (ZF) Net"; specifically:
In SPPNet:
ZF-5: this ...
3
votes
1
answer
233
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What ML model for regression given tabular AND image data?
I'd like to predict the power production of a windfarm given the wind speed, its direction and other variables related to the specific wind turbines. However, due to wake effects (wind speed decreases ...
- 133
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22
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Losing Information while resizing the image in Segmentation task using U-net
I'm using U-net architecture to build a segmentation task of image. During training I have image of size 256256 image. It works very well on the segmentation of same size 256256 or near to size 256*...
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1
answer
26
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How do I ensure final output shape matches input shape for a semantic segmentation task?
I trying to replicate the semantic segmentation example
https://keras.io/examples/vision/oxford_pets_image_segmentation/
but train on my own data. I have 8 labels (7 features + background). My images ...
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13
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2
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1
answer
55
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What does it mean if a neural networks starts overfitting more after applying regularisation techniques
Background
I am building a CNN to categorize cytometric cell data into healthy and diseased groups.
The architecture looks as follows:
3 Convolutional layers followed by average pooling followed by 3 ...
- 121
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31
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Is it the right approach to select the model when it gives highest accuracy on validation dataset?
I am training the Densenet121 Model on an image dataset. I divided the dataset into 80% for training and 20% for testing.
Then I further divided the training data into 85% for training and 15% for ...
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1
answer
123
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Custom Loss Function in Tensorflow for UNet
I am working on a Segmentation task, where I planned to use U-Net
for the input_image of shape (224,224,3), the output should be the mask image of shape ...
- 21
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0
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45
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Gradients of lower layers of a CNN when gradient of an upper layer is 0?
Say we have a convolutional neural network with an input layer, 3 convolutional layers and an output layer.
Say the gradients with respect to the weights and biases of the third convolutional layer ...
- 147
0
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1
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495
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How to copy and crop feature map in Unet?
I am confused about the principle of copy and crop in U-net, like the grey line shown above.
For example, the first grey line, how to convert a (64, 568, 568)(C,W,H) to a (128, 392, 392), did the ...
- 101
2
votes
1
answer
16k
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Pytorch mat1 and mat2 shapes cannot be multiplied
The error message shows
RuntimeError: mat1 and mat2 shapes cannot be multiplied (32x32768 and 512x256)
I have built the following model:
...
- 47
0
votes
1
answer
446
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How to build an image generation model for interior room design?
I want to build an image generator model of interior room design. This model should be able to generate an interior image of a living room/bedroom/hall/kitchen/bathroom. I have searched about it and ...
- 51
-1
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1
answer
162
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Manual computation of the predictions in a convolutional neural network
I am trying to manually compute the predictions of the Keras library for a convolutional neural network. However, I am struggling a lot to match my final result with the ones provided by Keras. I do ...
- 59
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1
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80
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A curve val_loss and loss in keras after training a model
Can anyone help me, is my model overfitting or underfitting?
I want to make sure the model is well done before starting to deploy
Also, I use categorical cross-entropy loss
I have asked before, but I ...
- 1