All Questions
Tagged with neural-network convolutional-neural-network
248
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Resources for writing CNN for semantic segmentation
I am intermediate/advanced in Python and new to machine learning. Most of what I know about deep learning I learned through Deep Learning with Python by François Chollet. I am trying to do image ...
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6
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Finding invariant feature areas within representation vector for each meta-class/group?
I have pairs of images which are not the same class, but are from the same meta-class/group. I have a standard CNN which produces a representation for each sample.
If I have several pairs of images ...
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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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48
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Why the training accuracy stays high but validation accuracy does not change?
I have a binary classification problem. I get ROI mammogram images and then apply a decomposition algorithm and as output I get 5 images which summation of them results in the original image. Now, ...
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2
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Is improving a Neural Network really just "trial and error"?
After asking on StackOverflow, I was redirected here, so I'm reposting this question.
I am a PhD student in Computational Physics and I've started to study a bit of Neural Networks, and decided to try ...
- 103
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Accuracy Drop in ViT with Patch Embedding: Investigating the Impact of Added Convolutional Layers
I'm currently working on incorporating a patch embedding layer into my Vision Transformer (ViT). I've defined this layer using four 2D convolutional and initialized it with a normal distribution. The ...
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Has someone designed a neural network which can select its own activation functions and/or have multiple activation functions in one model?
I'm wonder if there are any papers or implementations where a neural network has multiple activation functions in a single model (and layer), and preferably also where such activation functions ...
- 111
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Convolutional networks: remove useless features?
I'm new to convolutional neural networks and have two related questions:
If all the filters would have the same weights initially, they would all detect the very same feature - so it would be useless ...
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Why do I keep on getting ResourceExhaustedError while training on video data using CONV3D on tensorflow?
I'm encountering a memory allocation problem while training a deep learning model on my computer, which has a Core i9 10th Gen CPU, 64 GB of RAM, and an NVIDIA GTX 1660 Super with 6GB of VRAM. Despite ...
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1
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63
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How to align the description of a convolutional neural network in keras with wikipedia's conceptual model?
I was going through the introductory guide to convolutional neural networks in tensor flow here
And I was trying to logically map some of the code I saw to my actual understanding of how convolutional ...
- 111
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1
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99
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Questions about receptive field in the context of a practical CNN
I'm trying to understand the concept of receptive field better in the context of a practical CNN. All of the online info I can find on receptive field seems to be in a non-practical context so I'll ...
- 137
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122
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How to correct ValueError about incompatible dimensions of training data set in locallyconnected1D layer NN
I'm training this simple network with a few points, but it can't train. The model looks okay, but when training it raises a ValueError about the dimension of the training data sets. Could someone help?...
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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
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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
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61
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CNN sharing weights in feature map
what do they mean when they say all
neurons in a channel share weights with one another? Do they mean that in a chanel or a featue map the weights are the same ?
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