diff --git a/hw4/README.md b/hw4/README.md new file mode 100644 index 0000000..5e25887 --- /dev/null +++ b/hw4/README.md @@ -0,0 +1,84 @@ +# HW4 +There are 3 parts + +First part, it's a PCA implementation +Second part, its a word2vec implementation +Third part, it's a dimension fuess game(?) + +About the thrid problems, there's description below: +>In this assignment, you have to predict the intrinsic dimension of the given sets of data points. Each set contains 10k ~ 100k data points. The data points were sampled from a Standard Normal Distribution in the intrinsic dimension (that corresponds to the particular set) and then are embedded into a higher dimension via a 3-layer neural network, with ELU activation in the first two layers and linear activation in the last layer. There are 200 sets in total. + +## Kagge Link + + +## Data Link + + +### requirement.txt +``` +numpy +scipy +Pillow +scikit-learn +matplotlib==1.5.3 +Cython +word2vec +nltk +adjustText +``` + +## Reading reference: +### [problem 1] + + + + + + + + + + + + +### [problem 2] + + + + + + + + +#### NLTK + + + +#### word2vec + + + + + +### [problem 3] + + + + + + + + + + + + + +#### np.matmul = @ v.s. np.dot + + + + + +#### matplotlib $DISPLAY error on work station +