update website

_contents/04-calendar.md

@@ -23,9 +23,9 @@ The following schedule is tentative; the content of each lecture may change depe
 |-------|----|--------|---------|------------------------------------------
 | **Lecture 6** | Oct 10  | Recurrent Neural Networks, sequence-to-sequence learning ||  9.1-9.7, 10.1-10.8	  |  
 |-------|----|--------|---------|------------------------------------------
-| **Midterm Quiz & Lecture 7** | Oct 17  | Intro to Attention  || 11.1-11.6 | H2 due, H3 assigned
+| **Midterm exams** | Oct 17  |  || | H2 due, H3 assigned
 |-------|----|--------|---------|------------------------------------------
-| **Lecture 8** | Oct 24  | Transformers and Autoregressive Models   ||   11.7, 15.8-15.10   |  
+| **Lecture 8** | Oct 24  | Attention, Transformers and Autoregressive Models   ||   11.1-11.7, 15.8-15.10   |  
 |-------|----|--------|---------|------------------------------------------
 | **Reading Week** | Oct 31  | |   |  | 
 |-------|----|--------|---------|------------------------------------------

_contents/05-logistics.md

@@ -8,8 +8,8 @@ image: ""
 
 **Grading:** 
 * Homework, 50 points: There will be 4 homework assignments. Homework will consist of some combination of math and coding. Each homework is worth 12.5 points.
-* Midterm, 10 points: The midterm will take place on 10/17 and will cover all topics discussed before the midterm.
-* Final Project, 40 points: For the course project, you will implement a research idea related to the course material. Details will be released later.
+* Midterm, 20 points: The midterm will take place on 10/17 and will cover all topics discussed before the midterm.
+* Final Project, 30 points: For the course project, you will implement a research idea related to the course material. Details will be released later.
 
 **Late work, collaboration rules, and the honor code:**