machine-learning svm-classifier neuron-model linear-regression mp-neuron multilayer-perceptron-network rbf rbf-kernel rbf-classifier rbfs-algorithm sofm svm-model svm-training svm-learning multi-class-svm cnn cnn-classification cnn-model mnist mnist-classification

Machine_Learning Elective-III

SPPU - BE ENTC (2015 Pattern)

404191 - Machine Learning

404194 - Laboratory Practice IV (Elective III)

✔️ 1. Implement simple logic network using Mc - Culloch Pitts (MP) neuron model.
✔️ 2. Implement a simple linear regressor with a single neuron model.
✔️ 3. Implement and Test MLP trained with Back -Propagation algorithm.
✔️ 4. Implement and Test RBF network.
✔️ 5. Test & Implement Kohnen Self Organizing Feature Map.
✔️ 6. Implement SVM classifier for classification of data into two classes.
✔️ 7. Implement and test Multiclass SVM classifier.
✔️ 8. Implement and test CNN for Object Recognition.

Extra Algorithms

✔️ Perceptron
K means clustering

Let's complete above Laboratory Experiment in this LockDown

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SPPU - BE ENTC (2015 Pattern) - Elective III

machine-learning svm-classifier neuron-model linear-regression mp-neuron multilayer-perceptron-network rbf rbf-kernel rbf-classifier rbfs-algorithm sofm svm-model svm-training svm-learning multi-class-svm cnn cnn-classification cnn-model mnist mnist-classification

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