Bndl: Llf New Perspectives Htm L5 Css3 & Javascript, 6th Edition
Bndl: Llf New Perspectives Htm L5 Css3 & Javascript, 6th Edition
6th Edition
ISBN: 9781337755870
Author: Carey
Publisher: CENGAGE L
bartleby

Concept explainers

Question
Book Icon
Chapter 11, Problem 1RA
Program Plan Intro

To add name and date in comment section of file save jpf_hitori_txt.html and jpf_hitori_txt.js, and save each of them after removing the txt extension.

Expert Solution & Answer
Check Mark

Explanation of Solution

Given information: The filesjpf_hitori _txt.html and jpf_hitori_txt.js are provided under the folder html11→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 filesjpf_hitori_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 thejpf_hitori_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.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!
Students have asked these similar questions
Why I need ?
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)…
Knowledge Booster
Background pattern image
Computer Science
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
New Perspectives on HTML5, CSS3, and JavaScript
Computer Science
ISBN:9781305503922
Author:Patrick M. Carey
Publisher:Cengage Learning
Text book image
Np Ms Office 365/Excel 2016 I Ntermed
Computer Science
ISBN:9781337508841
Author:Carey
Publisher:Cengage