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A desktop computer is a personal computer designed for regular use at a single location on or near a desk due to its size and power requirements.
Answer:
#import turtle
import turtle
# set screen
Screen = turtle.Turtle()
# decide colors
cir= ['red','green','blue','yellow','purple']
# decide pensize
turtle.pensize(4)
# Draw star pattern
turtle.penup()
turtle.setpos(-90,30)
turtle.pendown()
for i in range(5):
turtle.pencolor(cir[i])
turtle.forward(200)
turtle.right(144)
turtle.penup()
turtle.setpos(80,-140)
turtle.pendown()
# choose pen color
turtle.pencolor("Black")
# importing turtle module
import turtle
# number of sides
n = 10
# creating instance of turtle
pen = turtle.Turtle()
# loop to draw a side
for i in range(n):
# drawing side of
# length i*10
pen.forward(i * 10)
# changing direction of pen
# by 144 degree in clockwise
pen.right(144)
# closing the instance
turtle.done()
turtle.done()
Explanation:
Answer:
The back propagation algorithm causes the network to settle into a stable state where it can correctly respond, to any desired degree of accuracy, to all inputs in the training set.
Explanation:
Back propagation algorithm is a part of the learning of a neural network. In a simple neural network setting at each iteration;
- The network<em> </em>assumes <em>random weights</em> at each network layer and passes the value to the next trough an <em>activation function</em>.
- Then a loss function is calculated by comparing the distace of the final value with the label value using a predetermined distance metric.
- The weights are optimized trough back propagation
Thus, back propagation algorithm used to reach the final weights of the neural network, so that it can work more accurately.