CSE_512_ML_HW

CSE 512 Machine Learning Assignments

HW1

HW2 LOOCV Ridge Regression

Q1. MLE,MAP, Estimator Bias

Q2. Ridge Regression and LOOCV

Q3. Implement LOOCV Ridge Regression to Predict goodness points of a wine given its review

HW3 Logistic Regression

Question 1 – Naive Bayes and Logistic Regression

Question 2 – Implementation of Logistic Regression Your task is to classify between hand/not-hand images.

HW4 SVM for object detection

Question 1 – Support Vector Machines

Question 2 – Implementation of SVMs

Question 3 – SVM for object detection

You will train an SVM and use it for detecting human upper bodies in your favorite TV series The Big Bang Theory.

HW5 SVMs to classify scenes from The Big Bang Theory

Question 1 – Boosting

Question 2 - Programming Question (clustering with K-means)

Question 3 - You will train SVMs with different kernels and use them to classify scenes from The Big Bang Theory, your favorite TV series. To classify an image, you will use Bag-of-Word representation, which is one of the most popular image representation. This representation views an images as the his- togram of image features, or visual words

HW6 Action recognition with CNN

1 PCA via Successive Deflation

2 Question 2 – Action recognition with CNN

In this question, you will train a convolutional neural network (CNN) to classify images and videos using Pytorch. We use the UCF101 data (see http://crcv.ucf.edu/data/UCF101.php).

HW7 Generative Adversarial Networks (Programming) AND Action Classification Using RNN

1 Manual calculation of one round of EM for a GMM

2 Generative Adversarial Networks (Programming)

In this section, you will train generative adversarial networks (GAN) to generate images using PyTorch. We use the MNIST data which is 60,000 training and 10,000 test images

3 Action Classification Using RNN

In this section, you will train recurrent neural networks (RNNs) to classify human actions. RNNs are de- signed handle sequential data.

please see the following files for details of HW :

1. hw2_v2_ques.pdf
2. hw_3_ques.pdf.pdf
3. hw4_ques
4. hw5_ques.pdf
5. cse512-hw6.pdf
6. hw7.pdf