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I know the general recommendation is to leave the backbone frozen and train task-specific heads. However I'm interested in continuing pre-training to better fit the backbone features to my dataset. Is…
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**Submitting authors:** @nkoda @mahdiheydar @izk20 @harrysyz99
**Repository:** https://github.com/DSCI-310/DSCI-310-Group-10
**Abstract/executive summary:**
The KNN-Classification model was ap…
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datmo-tutorials/face-recognition/experimentation.ipynb
The code sections where config and stats are written don't have any explanation.
Also, `n_jobs` is actually being used above the config ob…
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Hi Cedric:
I used the official example and run this dataset 'datasets.Phishing()' using the EvolutionaryBaggingClassifier().
But I don't know why the first instance, this pipeline predicts that …
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Using standard parameters in supervised mode with dichotomous response variable (0/1) and embedding in 2 dimensions, I fit on 80% of data (800k points,20 cols) and I transform on 80% and on the holdou…
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* face_recognition version: .1.3
* Python version: 3.7
* Operating System: RPI buster
### Description
Use face_recognition for matching face from known photo database.
Means trying to find t…
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Improvements to KNNClassifier
- [ ] infer() should have options for sparse and dense inputs. Right now, for example, if distance metric is 'rawOverlap' infer must be called with a dense input even if …
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I have tried this code with Visual Studio 2015 the TestAndTrain.py also works like GenData.py.
![Uploading train data error.png…]()![classifire exists](https://user-images.githubusercontent.com/35827…
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hello i utilize your useful program for face recognition,my implemented network is inception resnet v2 and
1. batch_size=16,
2.lr=0.001
3.embeding_size=128
4.train_size=708
5.eval_size=396
6.ma…
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I'm going through the material and will for now just list things I find in https://github.com/deeplearning540/deeplearning540.github.io/blob/main/source/lesson03/script.ipynb
* [2] why not use `dro…