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added GANS!

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novak_99 2022-01-28 17:32:28 -08:00
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README.md
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@ -135,14 +135,16 @@ The result will be the model's predictions for the entire dataset.
1. Multilayer Peceptron
2. Autoencoder
3. Softmax Network
4. ***Natural Language Processing***
4. ***Generative Modeling***
1. Tabular Generative Adversarial Networks
5. ***Natural Language Processing***
1. Word2Vec (Continous Bag of Words, Skip-Gram)
2. Stemming
3. Bag of Words
4. TFIDF
5. Tokenization
6. Auxiliary Text Processing Functions
5. ***Computer Vision***
6. ***Computer Vision***
1. The Convolution Operation
2. Max, Min, Average Pooling
3. Global Max, Min, Average Pooling
@ -153,12 +155,12 @@ The result will be the model's predictions for the entire dataset.
- Horizontal/Vertical Roberts Filter
- Gaussian Filter
- Harris Corner Detector
6. ***Principal Component Analysis***
7. ***Naive Bayes Classifiers***
7. ***Principal Component Analysis***
8. ***Naive Bayes Classifiers***
1. Multinomial Naive Bayes
2. Bernoulli Naive Bayes
3. Gaussian Naive Bayes
8. ***Support Vector Classification***
9. ***Support Vector Classification***
1. Primal Formulation (Hinge Loss Objective)
2. Dual Formulation (Via Lagrangian Multipliers)
10. ***K-Means***
@ -191,7 +193,7 @@ The result will be the model's predictions for the entire dataset.
3. Mean Normalization
4. One Hot Representation
5. Reverse One Hot Representation
17. ***Utilities***
18. ***Utilities***
1. TP, FP, TN, FN function
2. Precision
3. Recall