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