20,018 questions
-3
votes
0
answers
30
views
How to migrate from TensorFlow Lite to LiteRT with minimal code changes and which LiteRT versions match these dependencies? [closed]
I’m using mobilenetv1.tflite for object detection in my Flutter project (Android side in Kotlin).
Since Google now enforces 16 KB memory page size alignment, I’m trying to migrate from TensorFlow Lite ...
1
vote
0
answers
51
views
Onnx cannot be read with Microsoft.ML on Windows 10 (19045.5854)
Everything I describe here works perfectly fine on my computer that has Windows 11 (Version 10.0.26200 Build 26200).
However, on a computer that has Windows 10 (22H2 19045.5854) it does not work.
...
Advice
0
votes
0
replies
32
views
Large Kernel in ConvNets
I want to find a convolutional network with a large kernel (larger than 5x5 or 7x7). I want to perform kernel analysis, and to do this, I need to convert the model to the onnx format. I found ...
- 65
-5
votes
0
answers
22
views
Improving the training and f1, dice and IoU score of U-net architecture model [closed]
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 ...
- 91
1
vote
1
answer
122
views
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
1
vote
0
answers
212
views
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
114
views
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
119
views
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
88
views
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
votes
0
answers
75
views
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 ...
- 21
2
votes
0
answers
165
views
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
83
views
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
116
views
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
0
votes
1
answer
34
views
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....
- 9
0
votes
0
answers
66
views
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