| 11-October-2021 |
1.5 hours |
Introduction to AI |
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|
1.5 hours |
AI tools and techniques |
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| 18-October-2021 |
1.5 hours |
introduction to matlab |
Matlab Installation |
|
|
1.5 hours |
Datasets in AI |
Matlab Lab , Excel |
|
| 25-October-2021 |
1.5 hours |
Dataset preprocessing |
Matlab , excel |
|
|
1.5 hours |
Feature extraction |
Matlab , excel |
|
| 1-November-2021 |
1.5 hours |
Pattern recognition neural network |
Matlab, NNPR tool , csv files |
|
|
1.5 hours |
Model Testing |
Jacknife testing cross validation |
|
| 8-November-2021 |
1.5 hours |
Classifier Learner |
Matlab |
|
|
1.5 hours |
Introduction to fuzzy logic |
Mamdani fuzzifier |
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| 15-November-2021 |
1.5 hours |
Type I Fuzzy |
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|
|
1.5 hours |
Type II Fuzzy |
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| 22-November-2021 |
1.5 hours |
Neuro Fuzzy |
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|
|
1.5 hours |
Genetic Algorithm |
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| 29-November-2021 |
1 Hour |
Mid Term |
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| 6-December-2021 |
1.5 hours |
Python zero I |
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|
|
1.5 hours |
Python zero II |
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| 13-December-2021 |
1.5 hours |
File handling with python |
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|
|
1.5 hours |
Csv, Os , panda Matplotlib |
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| 20-December-2021 |
1.5 hours |
Kearas, Sklearn , Panda , tensor flow , open cv , yolo |
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|
|
1.5 hours |
Data preprocessing |
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| 27-December-2021 |
1.5 hours |
feature extraction with python |
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|
|
1.5 hours |
Machine Learning model Training I |
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| 3-January-2022 |
1.5 hours |
Machine Learning model Training II |
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|
|
1.5 hours |
Model Testing |
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| 10-January-2022 |
1.5 hours |
Introduction to deep learning |
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|
|
1.5 hours |
Deep learning model Training |
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| 17-January-2022 |
1.5 hours |
Deep learning model evolution measures |
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|
|
1.5 hours |
Yolo, darknet |
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| 24-January-2022 |
1.5 hours |
Front end design of AI base project I |
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|
|
1.5 hours |
Front end design of AI base project II |
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|
| 31-January-2022 |
2 Hour |
Final Term |
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