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Lapatulllka [165]
3 years ago
10

What is the smallest value for the learning rate such that the updated network will result in zero misclassified points using on

ly one iteration
Computers and Technology
1 answer:
romanna [79]3 years ago
5 0

The smallest value for the learning rate such that the updated network will result in zero misclassified points using only one iteration is known to be 0.

<h3>Can one have learning rate to be 0?</h3>

The learning rate is known to be one that has a configurable hyperparameter and it is said to be often used in the training of neural networks which are known to have a small positive value and it is one that often range from 0.0 and 1.0.

Hence, The smallest value for the learning rate such that the updated network will result in zero misclassified points using only one iteration is known to be 0.

Learn more about learning rate from

brainly.com/question/13338519

#SPJ1

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In mathematics, the notation n! represents the factorial of the nonnegative integer n. The factorial of n is the product of all
hram777 [196]

Answer:

The program to this question can be given as:

Program:

factorial=1 #declare a variable.  

number=int(input("Enter a positive integer:")) #input a number.  

while (number>0): #loop  

   factorial= factorial*number # holding value in factorial variable  

   number=number-1  

print('=',factorial) #print value.

Output:

Enter a positive integer:6  

= 720  

Explanation:

The description of the above python program can be given as:

  • In the above program firstly we define a variable that is "factorial". In this variable, we assign a value that is 1 and it is used to calculate the factorial value.  
  • We define a variable "number". The number variable is used to take input from the user.  
  • Then we define a loop in the loop we calculate the factorial and hold the value in the factorial value in the last we print the value.  

4 0
3 years ago
Using data from a tal distribution database, define a view named toplevelcust. it consists of the number, name, address, balance
valentina_108 [34]
A) CREATE TABLE toplevelcust (number INTEGER PRIMARY KEY, <span> name TEXT, address TEXT, balance DOUBLE, credit DOUBLE</span>);

b) select number, name, credit - balance from toplevelcust

c) This I cannot answer
7 0
4 years ago
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I'll pay 50 dollars to anyone who can do this leave your snap after answering doing it and ill cash app it
gladu [14]

Well for must cases it is the Ram of the system and the processor I will show you how you can get rid of slow processing

  1. Run the task manager then try to stop some running programs
  2. the antivirus sometimes slows the computer due to the processing power it takes.
  3. I would recommend that all program should be closed from the task manager and close some running apps in the system settings go to start up and then close it now you are good to go.

5 0
3 years ago
____ is the process of drawing a series of increasingly detailed DFDs, until all functional primitives are identified.
cupoosta [38]

Answer:

a. Leveling          

Explanation:

  • Leveling is also called decomposing.
  • It is a method to depict more detail in lower-level Data Flow Diagrams
  • It is the technique to expand or decompose DFDs into more details or levels to extract more information and identify all functional primitives until no further detail is required.
  • An information system can be comprised of multiple processes. Leveling partitions each process into sub-processes which identifies more details about the process with each level.
  • 0-level DFD: it starts with context diagram which depicts the whole system as a single process e.g. Grading system.
  • 1-level DFD: the context diagram is decomposed in this level. This means a single process is expanded into multiple processes which extracts more details about a process of a system.
  • 2- level DFD: this level decomposes the the process of level 1 going into further details.
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8 0
4 years ago
Quiz
Dmitrij [34]

Answer: False

Explanation: It is sent to committee then senate.

4 0
3 years ago
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