dl prob

dlprob2.py

try: #If running in colab 
    import google.colab
    IN_COLAB = True
    %tensorflow_version 2.x
except:
    IN_COLAB = False
 
import tensorflow as tf
if (not tf.__version__.startswith('2')): #Checking if tf 2.0 is installed
    print('Please install tensorflow 2.0 to run this notebook')
print('Tensorflow version: ',tf.__version__, ' running in colab?: ', IN_COLAB)
 
#load required libraries:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
plt.style.use('default')
 
 
# Assume a die with only one face with a dollar sign
# Calculate the probability to observe in 10 throws 1- or 2-times the $-sign
# See book section 4.1
10*(1/6)*(5/6)**9, 45*(1/6)**2*(5/6)**8
 
from scipy.stats import binom
# Define the numbers of possible successes (0 to 10)
ndollar = np.asarray(np.linspace(0,10,11), dtype='int') 
# Calculate the probability to get the different number of possible successes
pdollar_sign = binom.pmf(k=ndollar, n=10, p=1/6)  #B    
plt.stem(ndollar, pdollar_sign)
plt.xlabel('Number of dollar signs')
plt.ylabel('Probability')