6 questions
0
votes
1
answer
61
views
Hyperparameter tuning using Wandb or Keras Tuner - 10 fold Cross Validation
If I am using stratified 10-folds for classification/regression tasks, where do I need to define the logic for hyperparameter tuning using Scikit or Wandb?
Should it be inside the loop or outside?
I ...
- 17
0
votes
1
answer
147
views
How to split dataset in multiclass classification task of computer vision?
I am generally talking about Zero-shot Learning.
I feel that the current data splitting method for multi-task classification is not very reasonable because the validation set and the test set contain ...
- 13
-1
votes
1
answer
61
views
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);
...
- 3
0
votes
1
answer
320
views
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 ...
- 63
2
votes
2
answers
641
views
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 ...
- 122
0
votes
0
answers
51
views
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-...
