Mohammed A. AL-Maamari ModMaamari

## How To Make A CNN Using Tensorflow and Keras.slides.html

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## How To Make A CNN Using Tensorflow and Keras.ipynb

      
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                ModMaamari
                / How To Make A CNN Using Tensorflow and Keras.ipynb
            
            
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              September 5, 2018 22:10
            
              
                How To Make A CNN Using Tensorflow and Keras
              
          
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## DNNFR_B1.py
from keras.callbacks import ModelCheckpoint
from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import mean_absolute_error
from matplotlib import pyplot as plt
import seaborn as sb
import matplotlib.pyplot as plt
import pandas as pd

## DNNFR_B2.py
def get_data():
    #get train data
    train_data_path ='train.csv'
    train = pd.read_csv(train_data_path)

    #get test data
    test_data_path ='test.csv'
    test = pd.read_csv(test_data_path)

    return train , test

## rl_01_01_Field.py
class Field:
    def __init__(self, height=10, width=5):
        self.width      = width
        self.height     = height
        self.body       = np.zeros(shape=(self.height, self.width))

    def update_field(self,walls, player):
        try:
            # Clear the field:
            self.body = np.zeros(shape=(self.height, self.width))

## rl_01_01_Wall.py
class Wall:
    def __init__(self, height = 5, width=100,  hole_width = 20,
                 y = 0, speed = 1, field = None):
        self.height       = height
        self.width        = width
        self.hole_width   = hole_width
        self.y            = y
        self.speed        = speed
        self.field        = field
        self.body_unit     = 1

## rl_01_01_Player.py
class Player:
    def __init__(self, height = 5, max_width = 10 , width=2,
                 x = 0, y = 0, speed = 2):
        self.height        = height
        self.max_width     = max_width
        self.width         = width
        self.x             = x
        self.y             = y
        self.speed         = speed
        self.body_unit     = 2

## player_attributes.csv

          
            Attribute
            Type
            Description

            
              height
              int
              player's height

            
              max_width
              int
              player's maximum width (must be less than field.width)

            
              width
              int
              player's width (must be less than or equal to max_width and begger than 0)

            
              x
              int
              player's x coordinate in the field

            
              y
              int
              player's y coordinate in the field

            
              speed
              int
              player's speed (how many horizontal units it moves per step)

            
              body_unit
              int ; float
              the number used to represent the player in the array representation (in field.body)

            
              body
              np.array
              the player's body

            
              stamina
              int ; float
              player's energy (stamina) (when a player's energy hits zero the player dies)

## wall_attributes.csv

          
            Attribute
            Type
            Description

            
              height
              int
              the wall's height

            
              width
              int
              the wall's width ( the same value as the field's width)

            
              hole_width
              int
              the hole's width (max value of hole_width should be field.width or wall.width)

            
              y
              int
              the vertical coordinate of the wall (y axis) (max value of y should be field.height)

            
              speed
              int
              speed of the wall (raw/step)

            
              field
              Field
              the field that contains the wall

            
              body_unit
              int ; float
              the number used to represent the wall in the array representation (in field.body)

            
              body
              np.array
              the wall's body

            
              out_of_range
              bool
              A flag used to delete the wall when it moves out of the field range.

## rl_01_01_Environment.py
class Environment:
    P_HEIGHT      = 2  # Height of the player
    F_HEIGHT      = 20 # Height of the field
    W_HEIGHT      = 2  # Height of the walls
    WIDTH         = 10 # Width of the field and the walls
    MIN_H_WIDTH   = 2  # Minimum width of the holes
    MAX_H_WIDTH   = 6  # Maximum width of the holes
    MIN_P_WIDTH   = 2  # Minimum Width of the player
    MAX_P_WIDTH   = 6  # Maximum Width of the player
    HEIGHT_MUL    = 30 # Height Multiplier (used to draw np.array as blocks in pygame )

	<!DOCTYPE html>
	<html>
	<head>

	<meta charset="utf-8" />
	<meta http-equiv="X-UA-Compatible" content="chrome=1" />

	<meta name="apple-mobile-web-app-capable" content="yes" />
	<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
	from keras.callbacks import ModelCheckpoint
	from keras.models import Sequential
	from keras.layers import Dense, Activation, Flatten
	from sklearn.model_selection import train_test_split
	from sklearn.ensemble import RandomForestRegressor
	from sklearn.metrics import mean_absolute_error
	from matplotlib import pyplot as plt
	import seaborn as sb
	import matplotlib.pyplot as plt
	import pandas as pd
	def get_data():
	#get train data
	train_data_path ='train.csv'
	train = pd.read_csv(train_data_path)

	#get test data
	test_data_path ='test.csv'
	test = pd.read_csv(test_data_path)

	return train , test
	class Field:
	def __init__(self, height=10, width=5):
	self.width = width
	self.height = height
	self.body = np.zeros(shape=(self.height, self.width))

	def update_field(self,walls, player):
	try:
	# Clear the field:
	self.body = np.zeros(shape=(self.height, self.width))
	class Wall:
	def __init__(self, height = 5, width=100, hole_width = 20,
	y = 0, speed = 1, field = None):
	self.height = height
	self.width = width
	self.hole_width = hole_width
	self.y = y
	self.speed = speed
	self.field = field
	self.body_unit = 1
	class Player:
	def __init__(self, height = 5, max_width = 10 , width=2,
	x = 0, y = 0, speed = 2):
	self.height = height
	self.max_width = max_width
	self.width = width
	self.x = x
	self.y = y
	self.speed = speed
	self.body_unit = 2
Attribute	Type	Description
height	int	player's height
max_width	int	player's maximum width (must be less than field.width)
width	int	player's width (must be less than or equal to max_width and begger than 0)
x	int	player's x coordinate in the field
y	int	player's y coordinate in the field
speed	int	player's speed (how many horizontal units it moves per step)
body_unit	int ; float	the number used to represent the player in the array representation (in field.body)
body	np.array	the player's body
stamina	int ; float	player's energy (stamina) (when a player's energy hits zero the player dies)
	class Environment:
	P_HEIGHT = 2 # Height of the player
	F_HEIGHT = 20 # Height of the field
	W_HEIGHT = 2 # Height of the walls
	WIDTH = 10 # Width of the field and the walls
	MIN_H_WIDTH = 2 # Minimum width of the holes
	MAX_H_WIDTH = 6 # Maximum width of the holes
	MIN_P_WIDTH = 2 # Minimum Width of the player
	MAX_P_WIDTH = 6 # Maximum Width of the player
	HEIGHT_MUL = 30 # Height Multiplier (used to draw np.array as blocks in pygame )