Questions tagged [optimizer-deeplearning]
6 questions
2
votes
2 answers
Quantization aware training in tensorflow 2.2.0 producing higher inference time
I'm working on quantization in transfer learning using MobilenetV2 for personal dataset. There are 2 approaches that I have tried:
i.) Only post training quantization: It is working fine and is producing 0.04s average time for inference of 60 images…
Aparajit Garg
- 122
- 2
- 2
- 12
0
votes
0 answers
Tensorflow 2.11.0 training loss doesn't decrease
WARNING:tensorflow:5 out of the last 5 calls to triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function…
0
votes
0 answers
Convert pointcloud csv to hdf5 to train on PointCNN network
I am trying to train my point cloud data on PointCNN so I need to convert my dataset to hdf5 as used in PointCNN. PointCNN used the modelnet40_ply_hdf5_2048 dataset.
I have tried converting my custom dataset but I am having issues with the label.
I…
Vickky
- 1
0
votes
1 answer
Does backpropagation use optimization function to update weights?
I know that backpropagation calculates the derivative of the cost function with respect to the parameters of the model (weight and bias). However, I need to make sure that backpropagation does not update weight and bias; instead, it uses OPTIMIZERs…
Faref
- 53
- 8
0
votes
0 answers
Cant build a deep learning model as mentioned in the arxiv paper
I am trying to replicate this paper using the same dataset. But somehow they trained and achieved(80%) a lot better accuracy than I usually(65%) get.
My data is imbalanced 300:500(filler words: non-filler words).
The model tends to overfit in the…
saisriteja kuppa
- 15
- 4
-1
votes
1 answer
Gradient descent in matlab work but in python not work
Matlab version
For the contour plotting
[x1,x2\] = meshgrid(-30:0.5:30, -30:0.5:30);
F = (x1-2).^2 + 2\*(x2 - 3).^2;
figure;
surf(x1,x2,F);
hold on;
contour(x1,x2,F);
figure;
contour(x1,x2,F,20);
hold on;
For initialize the value of the matrix…
Elfs
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