New Perspectives on HTML5, CSS3, and JavaScript
6th Edition
ISBN: 9781305503922
Author: Patrick M. Carey
Publisher: Cengage Learning
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Chapter 13, Problem 1RA
Program Plan Intro
To add name and date in comment section of file save co_cart_txt.html, co_cart _txt.js, co_credit_txt.htmland co_credit_txt.js, and save each of them after removing the txt extension.
Expert Solution & Answer
Explanation of Solution
Given information: The filesco_cart_txt.html, co_cart_txt.js, co_credit_txt.html and co_credit_txt.jsare provided under the folder html13→Review with reference material.
Explanation:
In HTML comments are provided within symbols <!-- comments --> whereas in JS comments are included within the symbols /* comments */.
Follow below steps to add name and date in the html files co_cart_txt.html and co_credit_txt.html:
1. Right click on file name.
2. Select Open with →HTML editor
3. Write your name and date in Author and Date fields in comment section (<!-- -->) respectively.
4. Click File →Save As.
5. Under Save As window, provide new name to file after removing _txt extension.
6. Click Save.
A new update file will get created in the same directory.
Follow below steps to add name and date in the co_cart_txt.js and co_credit_txt.js:
1. Right click on file name.
2. Select Open with →HTML editor
3. Write your name and date in Author and Date fields in comment section(/* ---- */) respectively.
4. Click File →Save As.
5. Under Save As window, provide a new name to file after removing _txt extension.
6. Click Save.
A new update file will get created in the same directory.
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Here are two diagrams. Make them very explicit, similar to Example Diagram 3 (the Architecture of MSCTNN).
graph LR subgraph Teacher_Model_B [Teacher Model (Pretrained)] Input_Teacher_B[Input C (Complete Data)] --> Teacher_Encoder_B[Transformer Encoder T] Teacher_Encoder_B --> Teacher_Prediction_B[Teacher Prediction y_T] Teacher_Encoder_B --> Teacher_Features_B[Internal Features F_T] end subgraph Student_B_Model [Student Model B (Handles Missing Labels)] Input_Student_B[Input C (Complete Data)] --> Student_B_Encoder[Transformer Encoder E_B] Student_B_Encoder --> Student_B_Prediction[Student B Prediction y_B] end subgraph Knowledge_Distillation_B [Knowledge Distillation (Student B)] Teacher_Prediction_B -- Logits Distillation Loss (L_logits_B) --> Total_Loss_B Teacher_Features_B -- Feature Alignment Loss (L_feature_B) --> Total_Loss_B Partial_Labels_B[Partial Labels y_p] -- Prediction Loss (L_pred_B) --> Total_Loss_B Total_Loss_B -- Backpropagation -->…
Please provide me with the output image of both of them . below are the diagrams code
I have two diagram :
first diagram code
graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…
I'm reposting my question again please make sure to avoid any copy paste from the previous answer because those answer did not satisfy or responded to the need that's why I'm asking again
The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models:
First Diagram (Student A - Missing Values):
Clearly illustrate the student training process.
Show how knowledge distillation happens between the teacher and Student A.
Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention).
Second Diagram (Student B - Missing Labels):
Similarly, detail the training process for Student B.
Clarify how knowledge distillation works between the teacher and Student B.
Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred.
Since these are two distinct challenges…
Chapter 13 Solutions
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