20,016 questions
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Improving the training and f1, dice and IoU score of U-net architecture model
I am training a semantic segmentation model, with U-net architecture with encoders EfficientNet and MobileNet and the fi , dice and IoU are like 0.71,0.71 and 0.54 respectively. I am doing the ...
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1
vote
1
answer
118
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Torch Conv2d results in both dimensions convolved
I have input shape to a convolution (50, 1, 7617, 10). Here, 7617 is word vectors as rows, and 10 is the number of words in columns. I want to convolve column-wise and obtain (2631, 1, 7617, 1), 1 ...
- 1,395
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votes
0
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131
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Installation error while installing GroundingDino
I am trying to install the GroundingDino as instructed in the README file of their official GitHub repo, but I am facing the error below:
Obtaining file:///home/kgupta/workspace/Synthetic_Data_gen/...
0
votes
1
answer
103
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Why does a LSTM pytorch model yield constant values?
I am training a LSTM model with data from yfinance. The process is really standard. I get the data with yf.download(ticker=ticker) where ticker='AAPL and do df.rolling(30, min_periods=1) to smooth the ...
- 52
0
votes
1
answer
117
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Preventing GPU memory leak due to a custom neural network layer
I am using the MixStyle methodology for domain adaptation, and it involves using a custom layer that is inserted after every encoder stage. However, it is causing VRAM to grow linearly, which causes ...
-3
votes
1
answer
82
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Can I visualize a neural network’s loss landscape to see if it’s stuck in a bad minimum? Any code example for this? [closed]
So, I’m trying to understand why sometimes neural networks get stuck during training. I heard people talk about ‘local minima’ and ‘saddle points,’ but I can’t really picture them. I want to actually ...
0
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0
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72
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KFold cross-validation in Keras: model not resetting between folds (MobileNet backbone)
I am trying to perform KFold cross-validation on a Keras model. The first fold runs exactly as expected, but from the second fold onwards the model doesn’t seem to reset. The training behaves ...
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2
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0
answers
162
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TensorFlow/Keras model accumulates system and GPU RAM during training
I am training a model using TensorFlow/Keras using TensorFlow 2.19.0/Keras 3.10.0. During training, I monitor nvidia-smi and top, and the system RAM and the GPU RAM increase during the training period....
- 931
0
votes
1
answer
77
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Differentiable weight setting in flax NNX
I'm doing some experiments with Flax NNX (not Linen!).
What I'm trying to do is compute the weights of a network using another network:
A hypernetwork receives some input parameters W and outputs a ...
3
votes
1
answer
112
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Neural Network built from scratch using numpy isn't learning
I'm building a neural network from scratch using only Python and numpy, It's meant for classifying the MNIST data set, I got everything to work but the network isn't really learning, at epoch 0 it's ...
- 107
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1
answer
32
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Model with ResNet blocks stuck at low accuracy
I am trying to implement classification of ECG segments from PTB-XL database (https://physionet.org/content/ptb-xl/1.0.3/). The architecture of the model which I am using is:
import torch
import torch....
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0
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0
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65
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Building NN from scratch, why does my NN not memorize a small sample size of training data? It ends up being a class distribution
No matter which input I give it after training, it still spits the class distribution.. whereas if I just remove the hidden layer and use a single layer nn, it works much better.
I know the proper ...
- 13
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0
answers
66
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Tensorflow speed of tf.nn.conv2D used instead of opencv GaussianBlur
I'm trying to move some computer vision tasks to tensorflow. The most intensive ops are convolutions, like GaussianBlur. The timings I get using timeit suggest that the GPU equivalent is >10 x ...
- 314
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votes
1
answer
58
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Randomized Search CV with Neural Network
I want to tune a neural network but since i would be doing a lot of test runs i decided to use Randomized search CV
I first started by freeing up some space.
# Reseting layers and freeing up some ...
2
votes
1
answer
91
views
Error forming mini-batch for network input
I am trying to predict vehicle trajectory, using t-30 data sequence to predict until t+30 trajectory. The data I have created is an neighbour occupancy matrix for each frames for each cars, this data ...
