hackintoshrao

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets(".", one_hot=True, reshape=False)

import tensorflow as tf

# Parameters
learning_rate = 0.001
training_epochs = 20
batch_size = 128  # Decrease batch size if you don't have enough memory
display_step = 1

hackintoshrao

# Quiz Solution
# Note: You can't run code in this tab
import tensorflow as tf

output = None
hidden_layer_weights = [
    [0.1, 0.2, 0.4],
    [0.4, 0.6, 0.6],
    [0.5, 0.9, 0.1],
    [0.8, 0.2, 0.8]]

hackintoshrao

import numpy as np
from sklearn import preprocessing
# Example labels
labels = np.array([1,5,3,2,1,4,2,1,3])
# Create the encoder
lb = preprocessing.LabelBinarizer()
# Here the encoder finds the classes and assigns one-hot vectors 
lb.fit(labels)
# And finally, transform the labels into one-hot encoded vectors
lb.transform(labels)

hackintoshrao

import tensorflow as tf

output = None
logit_data = [2.0, 1.0, 0.1]
logits = tf.placeholder(tf.float32)

softmax = tf.nn.softmax(logits)

with tf.Session() as sess:
    output = sess.run(softmax, feed_dict={logits: logit_data})

hackintoshrao

import numpy as np 

a = np.random.randn(8)

print(a)

# Rank 1 vectors
# (8,)
print(a.shape)

hackintoshrao

import time
import numpy as np

a = np.random.randn(1000000)
b = np.random.randn(1000000)

tic = time.time()
c = np.dot(a, b)
toc = time.time()

hackintoshrao

user  nginx;
worker_processes  1;
error_log  /var/log/nginx/error.log warn;
pid        /var/run/nginx.pid;
events {
    worker_connections  1024;
}
http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

hackintoshrao

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: istio-ingress
  annotations:
    kubernetes.io/ingress.class: istio
spec:
  rules:
  - http:
      paths:

hackintoshrao

def sum(values):
  if not isinstance(values, collections.Iterable):
    raise TypeError( parameter must be an iterable type ) 
  total = 0
  for v in values:
    if not isinstance(v, (int, float)):
      raise TypeError( elements must be numeric )
    total = total+ v 
    return total
  

hackintoshrao

def sqrt(x):
  if not isinstance(x, (int, float)):
    raise TypeError( x must be numeric ) 
  elif x < 0:
    raise ValueError( x cannot be negative ) # do the real work here...