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project1 in which you find the error
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1. I am trying to use the alexnet to do regression on human pose estimation using MatConvNet.
2. When i train the net for the first two epochs, the loss is decreasing quick. But after than, the loss…
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#### Describe the workflow you want to enable
```python
from sklearn.tree import DecisionTreeRegressor
model = DecisionTreeRegressor(criterion = 'msle')
```
There are some differences betwe…
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I might be completely off base here, but it looks like the computation of Mean Squared Error (MSE) https://github.com/coxlab/prednet/blob/master/kitti_evaluate.py#L58 is comparing the true *current* f…
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Hi!
First, I want to express my appreciation for mrcal—it's been an invaluable tool for my projects.
I have a feature request concerning the reprojection error statistics provided by mrcal. Cur…
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Hello,
I'm tuning a pre-trained network using a small dataset (32 MRI images). I need a stoping criterion to know on which epoch I need to stop. I can't use the top 1 error because my training data …
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On https://github.com/cazala/synaptic/blob/master/src/neuron.js#L119, error responsibility for an output layer neuron is calculated as cross entropy derivative, which may not be optimal for regression…
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Related to #194, I could not find out how the model output is validated against out-of-sample data in the model overview or any of the cited papers (apologies if missed). Do we need some code to per…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Predicting IPO Performance Using Deep Learning
:red_circle: **Aim** :This project aims to predict the p…