scmmishra

# Implementing a one-layer Neural Network
#---------------------------------------
#
# We will illustrate how to create a one hidden layer NN
#
# We will use the iris data for this exercise
#
# We will build a one-hidden layer neural network
#  to predict the fourth attribute, Petal Width from
#  the other three (Sepal length, Sepal width, Petal length).

scmmishra

class Survey(flask_db.Model):
    name = CharField()
    department = TextField()
    year = TextField()
    tags = TextField()
    timestamp = DateTimeField(default=datetime.datetime.now, index=True)

    def save(self, *args, **kwargs):
        ret = super(Survey, self).save(*args, **kwargs)
        return ret

scmmishra

import tensorflow as tf

a = tf.constant(5, name="input_a")
b = tf.constant(3, name="input_b")
c = tf.add(a,b, name="add_c")
d = tf.multiply(a,b, name="multiply_d")
e = tf.add(c,d, name="add_e")

sess = tf.Session()
output = sess.run(e)

scmmishra

import tensorflow as tf

# Explicitly create a Graph object
graph = tf.Graph()

with graph.as_default():

    with tf.name_scope("variables"):
        # Variable to keep track of how many times the graph has been run
        global_step = tf.Variable(0, dtype=tf.int32, trainable=False, name="global_step")

scmmishra

import tensorflow as tf

W = tf.Variable(tf.zeros([2, 1]), name="weights")
b = tf.Variable(0., name="bias")

def inference(X):
    return tf.matmul(X, W) + b

def loss(X,Y):
    Y_predicted = inference(X)

scmmishra

import matplotlib.pyplot as plt

def draw_neural_net(ax, left, right, bottom, top, layer_sizes):
    '''
    Draw a neural network cartoon using matplotilb.
    
    :usage:
        >>> fig = plt.figure(figsize=(12, 12))
        >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2])
    

scmmishra

import matplotlib.pyplot as plt

def draw_neural_net(ax, left, right, bottom, top, layer_sizes):
    '''
    Draw a neural network cartoon using matplotilb.
    
    :usage:
        >>> fig = plt.figure(figsize=(12, 12))
        >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2])
    

scmmishra

function awesomeStuff() { … }
function done() { … }

var Student = function() {
  this.name = name;
}

Person.prototype.doWork = function() {
  do { awesomeStuff(); } while (!done());
}

scmmishra

Filter by Country
		<div class="text-center mt-2 mx-auto">
			<select id="select-country" onchange="setCountry(this)" style="width: 250px;" class="select-country">
				<option value="all">All</option>
				{% for country in country_list %}
				<option value="{{ country.name }}">{{ country.name }}</option>
				{% endfor %}
			</select>
		</div>
    

scmmishra

import os
import datetime

from flask import (Flask, flash, redirect, render_template, request,
                    Response, url_for, session)
from peewee import *
from playhouse.flask_utils import FlaskDB, get_object_or_404, object_list
from playhouse.sqlite_ext import *

SECRET_KEY = "secret"