Answer:español por favor asi te responderé y gracias por los 10 puntos chaoo
Explanation:
The limitation of computer are:
- No self-intelligence
- No feeling
- No learning power
- Dependency
Deep Learning enables image processing, speech recognition, and complex game play in artificial intelligence.
<h3>What is Deep learning?</h3>
This is known to be a part of machine learning, and it is seen as neural network that is made up of three or more layers which tries to simulate the behavior of the human brain.
Note that Deep Learning enables image processing, speech recognition, and complex game play in artificial intelligence.
See options below
1)Expert Systems
2)Deep Learning
3)Natural Language Understanding (NLU)
4)Artificial General Intelligence (AGI)
Learn more about Deep Learning from
brainly.com/question/27844272
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Answer:
Yes there is but it's rare cause everywhere we go we're tied down from some rules cause they help society function better
Answer:
import numpy as np
import matplotlib.pyplot as plt
def calculate_pi(x,y):
points_in_circle=0
for i in range(len(x)):
if np.sqrt(x[i]**2+y[i]**2)<=1:
points_in_circle+=1
pi_value=4*points_in_circle/len(x)
return pi_value
length=np.power(10,6)
x=np.random.rand(length)
y=np.random.rand(length)
pi=np.zeros(7)
sample_size=np.zeros(7)
for i in range(len(pi)):
xs=x[:np.power(10,i)]
ys=y[:np.power(10,i)]
sample_size[i]=len(xs)
pi_value=calculate_pi(xs,ys)
pi[i]=pi_value
print("The value of pi at different sample size is")
print(pi)
plt.plot(sample_size,np.abs(pi-np.pi))
plt.xscale('log')
plt.yscale('log')
plt.xlabel('sample size')
plt.ylabel('absolute error')
plt.title('Error Vs Sample Size')
plt.show()
Explanation:
The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.
