[Solved] CS3120 Homework 5

(Only NumPy and data visualization packages are allowed.)

1.Read through Slide11 and 12, watch video lectures of neural networks.

2.Run the code 8_NN_2layer.py (blackboard)

3. Trains the NN more than 1,000 times and observe the change of the loss value.

4. Implement a 3-6-2 network (using code 8_NN_2layer.py) to fit the following data:

X=np.array(([0,0,1],[0,1,1],[1,0,1],[1,1,1]), dtype=float)

y=np.array(([0,1],[1,0],[1,0],[0,1]), dtype=float)

5. What are the dimension of weight matrix 1 and weight matrix 2? (5pts)
6. Test the two following samples and write down the predicted y values for them. (5 pts)

Testing sample one: X1 = [0, 0, 0] y1=[? ?]

Testing sample two: X2 = [1,1,1] y2=[? ?]

Submission:

Write a report to describe /answer required questions (5 and 6).

Upload your code with comments as a separate .py or zip file.

File1: Assignment5_FirstnameLastname.doc/.pdf (this is the report)

+

File2: Assignment5_ FirstnameLastname.py (this is the code. only .py files accepted.

OR

Assignment5_ FirstnameLastname.zip if you have multiple .py files.