Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
LightGBM support pandas columns of category type.
As a matter of fact,
this is the suggested way of handling categorical columns in LightGBM.
data[feature] = pd.Series(data[feature], dtype="category")
A LightGBM model (which is a Booster object) records categories of each categorical feature. This information is used to set categories of each categorical feature during prediction, which ensures that a LightGBM model can always handle categorical features correctly.
Handling Categorical Variables in Machine Learning
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Categorical variables are very common in a machine learning project. On a high level, there are two ways to handle a categorical variable.
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Drop a categorical variable if a categorical variable …
Tips on LightGBM
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
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It is strongly suggested that you load data into a pandas DataFrame and handle categorical variables by specifying a
dtypeof"category"for those categorical variables.df.cat_var = df.cat_var.astype …
Fake Face Using AI
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://faceswap.dev/ Faceswap is the leading free and Open Source multi-platform Deepfakes software.
https://github.com/iperov/DeepFaceLab DeepFaceLab is the leading software for creating deepfakes.
Compute Vision Tasks
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
| Task | Sub Domain | Description | Models | Data | Tools/Applications | Papers |
|---|---|---|---|---|---|---|
| Image Classification | Image Classification | Image Classification | Image Classification | Image Classification | Image Classification | Image Classification |
| Image Localization | Image Localization | Image Localization | Image Localization … |
Training Deep Neural Networks
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Rules of Thumb for Training
https://arxiv.org/pdf/1206.5533.pdf**
https://towardsdatascience.com/17-rules-of-thumb-for-building-a-neural-network-93356f9930af
https://hackernoon.com/rules-of-thumb-for-deep-learning-5a3b6d4b0138
https://stats.stackexchange.com/questions/181/how-to-choose-the-number-of-hidden-layers-and-nodes-in-a-feedforward-neural-netw
Batch size affects both …