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3:43 PM 899 ار ال ج Tell me about a time when your organization was going through change. How was communication? How did the leaders behave? Answer: while going through change every start working carefully, everyone work and listen carefully and follow the new changes positively. So, it is good to welcome new changes positively How would you describe your most memorable leader in your organization? What were their qualities and behaviours? Answer: my organisation leader is good listners, always listen to peoples. She is perfect at her every decision Can you describe a time where you felt unfairly treated at work or observed someone being treated unfairly? What was the result? Answer: yes it do happens someone, I also faced this situation onces, reporting back to work but manger saw me started shouting at me that I am always being late at work, she got this report from other workers, but at the end manager aprolized for that because she was wrong. How does goal-setting and feedback happen at your organization? As a result, do you feel confident and motivated in your work? Answers: goal of sales target on some special occasions, is target last year and my team did it. Can you describe a time when you felt proud (or ashamed) of the ethical (or lack of ethical) behaviour within your organization? ...
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4 pages

What is genetic testing and their details

Genetic testing is a type of medical test that identifies changes in chromosomes, genes, or proteins.The results of a gene ...

What is genetic testing and their details

Genetic testing is a type of medical test that identifies changes in chromosomes, genes, or proteins.The results of a genetic test can confirm or rule out a suspected genetic condition or help determine

Reading from Families in a Global Context Chapters 16 & 17

After reading chapters 16 & 17 from Families in a Global Context answer the following questions.Discuss how poverty and so ...

Reading from Families in a Global Context Chapters 16 & 17

After reading chapters 16 & 17 from Families in a Global Context answer the following questions.Discuss how poverty and social exclusion are impacting Brazil’s families. Discuss some of the changes families have undergone in Mexico since 1970. Are they good or bad? Read chapter 16, Brazilian Families in the Confrontation between Hierarchy and Equality, and chapter 17, Mexican Families: Sociocultural and Demographic Patterns, from textbook Hennon, C. B., & Wilson, S. M. (Eds.). (2008). Families in a global context. New York: Routledge.

Refactor My Code to Get It to Run on Jupyter Python Coding Task

Run the code to build a convolutional neural network model that includes a deeper network and data augmentation.from keras ...

Refactor My Code to Get It to Run on Jupyter Python Coding Task

Run the code to build a convolutional neural network model that includes a deeper network and data augmentation.from keras.datasets import cifar10from keras.utils import np_utilsfrom keras.models import Sequentialfrom keras.layers.core import Dense, Dropout, Activation, Flattenfrom keras.layers.convolutional import Conv2D, MaxPooling2Dfrom keras.optimizers import SGD, Adam, RMSpropimport matplotlib.pyplot as plt# CIFAR_10 is a set of 60K images 32x32 pixels on 3 channelsIMG_CHANNELS = 3IMG_ROWS = 32IMG_COLS = 32#constantBATCH_SIZE = 128NB_EPOCH = 20NB_CLASSES = 10VERBOSE = 1VALIDATION_SPLIT = 0.2OPTIM = RMSprop()#load dataset(X_train, y_train), (X_test, y_test) = cifar10.load_data()print('X_train shape:', X_train.shape)print(X_train.shape[0], 'train samples')print(X_test.shape[0], 'test samples')# convert to categoricalY_train = np_utils.to_categorical(y_train, NB_CLASSES)Y_test = np_utils.to_categorical(y_test, NB_CLASSES)# float and normalizationX_train = X_train.astype('float32')X_test = X_test.astype('float32')X_train /= 255X_test /= 255# networkmodel = Sequential()model.add(Conv2D(32, (3, 3), padding='same',input_shape=(IMG_ROWS, IMG_COLS, IMG_CHANNELS)))model.add(Activation('relu'))model.add(MaxPooling2D(pool_size=(2, 2)))model.add(Dropout(0.25))model.add(Flatten())model.add(Dense(512))model.add(Activation('relu'))model.add(Dropout(0.5))model.add(Dense(NB_CLASSES))model.add(Activation('softmax'))model.summary()# trainmodel.compile(loss='categorical_crossentropy', optimizer=OPTIM,metrics=['accuracy'])model.fit(X_train, Y_train, batch_size=BATCH_SIZE,epochs=NB_EPOCH, validation_split=VALIDATION_SPLIT,verbose=VERBOSE)score = model.evaluate(X_test, Y_test,batch_size=BATCH_SIZE, verbose=VERBOSE)print("Test score:", score[0])print('Test accuracy:', score[1])#save modelmodel_json = model.to_json()open('cifar10_architecture.json', 'w').write(model_json)#And the weights learned by our deep network on the training setmodel.save_weights('cifar10_weights.h5', overwrite=True)model = Sequential()model.add(Conv2D(32, (3, 3), padding='same',input_shape=(IMG_ROWS, IMG_COLS, IMG_CHANNELS)))model.add(Activation('relu'))model.add(Conv2D(32, (3, 3), padding='same'))model.add(Activation('relu'))model.add(MaxPooling2D(pool_size=(2, 2)))model.add(Dropout(0.25))model.add(Conv2D(64, (3, 3), padding='same'))model.add(Activation('relu'))model.add(Conv2D(64, 3, 3))model.add(Activation('relu'))model.add(MaxPooling2D(pool_size=(2, 2)))model.add(Dropout(0.25))model.add(Flatten())model.add(Dense(512))model.add(Activation('relu'))model.add(Dropout(0.5))model.add(Dense(NB_CLASSES))model.add(Activation('softmax'))from keras.preprocessing.image import ImageDataGeneratorfrom keras.datasets import cifar10import numpy as npNUM_TO_AUGMENT=5#load dataset(X_train, y_train), (X_test, y_test) = cifar10.load_data()# augumentingprint("Augmenting training set images...")datagen = ImageDataGenerator(rotation_range=40,width_shift_range=0.2,height_shift_range=0.2,zoom_range=0.2,horizontal_flip=True,fill_mode='nearest')xtas, ytas = [], []for i in range(X_train.shape[0]): num_aug = 0x = X_train[i] # (3, 32, 32)x = x.reshape((1,) + x.shape) # (1, 3, 32, 32)for x_aug in datagen.flow(x, batch_size=1,save_to_dir='preview', save_prefix='cifar', save_format='jpeg'): if num_aug >= NUM_TO_AUGMENT: breakxtas.append(x_aug[0])num_aug += 1#fit the datagetdatagen.fit(X_train)# trainhistory = model.fit_generator(datagen.flow(X_train, Y_train,batch_size=BATCH_SIZE), samples_per_epoch=X_train.shape[0],epochs=NB_EPOCH, verbose=VERBOSE)score = model.evaluate(X_test, Y_test,batch_size=BATCH_SIZE, verbose=VERBOSE)print("Test score:", score[0])print('Test accuracy:', score[1])

Colorado State University Module 8 Business Continuity and Disaster Recovery Plan

For your final Portfolio Project, pretend that you have been hired to write a Business Continuity/Disaster Recovery Plan f ...

Colorado State University Module 8 Business Continuity and Disaster Recovery Plan

For your final Portfolio Project, pretend that you have been hired to write a Business Continuity/Disaster Recovery Plan for an organization. The organization has multiple locations within a state or states and only has an in-house infrastructure setup. No Cloud-based services for this organization are used.Using the material from Chapter 8 of the textbook, build a complete Business Continuity/Disaster Recovery Plan for this fictitious organization. Write a paper that contains and describes the complete Business Continuity/Disaster Recovery Plan components and offers a detailed explanation of each component of the plan. Provide information on the process flow, when a disaster happens, and individuals and actions required to occur within the organization. The disaster type is your choice, though it must have an impact on more than one component of the plan.Your paper should be 8-10 pages in length, not including graphic materials, and conform to the CSU-Global Guide to Writing and APA (Links to an external site.). Include at least seven credible references in addition to the course textbook. The CSU-Global Library is a good place to find these references.

Stakeholders Assignment

400 to 600 words Before you start this assignment, please read the story entitled The Importance of Knowing Your Own Secur ...

Stakeholders Assignment

400 to 600 words Before you start this assignment, please read the story entitled The Importance of Knowing Your Own Security Posture. After reviewing the story, conduct research online into the various possibilities for conducting a risk assessment for organizations. Address the following:Discuss the specific recommendations that you would make based on your personal experience and research.Discuss the impact (from the perspective of various stakeholders) of the use of a risk assessment to stop an attack.How can technology be used as an enabler for the risk-assessment process?How can technology be a detractor for the risk-assessment process?Provide specific examples of how you would conduct a risk assessment.How can you apply the lessons that you learned from the story to your own company problem?Provide feedback on the recommendations that your classmates made.

10 pages

Dangers of junk food and added sugar edited

THE DANGERS OF ADDED SUGAR AND JUNK FOOD CONSUMPTION Cardiovascular and chronic conditions are one of the top courses of d ...

Dangers of junk food and added sugar edited

THE DANGERS OF ADDED SUGAR AND JUNK FOOD CONSUMPTION Cardiovascular and chronic conditions are one of the top courses of death in the current

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What is genetic testing and their details

Genetic testing is a type of medical test that identifies changes in chromosomes, genes, or proteins.The results of a gene ...

What is genetic testing and their details

Genetic testing is a type of medical test that identifies changes in chromosomes, genes, or proteins.The results of a genetic test can confirm or rule out a suspected genetic condition or help determine

Reading from Families in a Global Context Chapters 16 & 17

After reading chapters 16 & 17 from Families in a Global Context answer the following questions.Discuss how poverty and so ...

Reading from Families in a Global Context Chapters 16 & 17

After reading chapters 16 & 17 from Families in a Global Context answer the following questions.Discuss how poverty and social exclusion are impacting Brazil’s families. Discuss some of the changes families have undergone in Mexico since 1970. Are they good or bad? Read chapter 16, Brazilian Families in the Confrontation between Hierarchy and Equality, and chapter 17, Mexican Families: Sociocultural and Demographic Patterns, from textbook Hennon, C. B., & Wilson, S. M. (Eds.). (2008). Families in a global context. New York: Routledge.

Refactor My Code to Get It to Run on Jupyter Python Coding Task

Run the code to build a convolutional neural network model that includes a deeper network and data augmentation.from keras ...

Refactor My Code to Get It to Run on Jupyter Python Coding Task

Run the code to build a convolutional neural network model that includes a deeper network and data augmentation.from keras.datasets import cifar10from keras.utils import np_utilsfrom keras.models import Sequentialfrom keras.layers.core import Dense, Dropout, Activation, Flattenfrom keras.layers.convolutional import Conv2D, MaxPooling2Dfrom keras.optimizers import SGD, Adam, RMSpropimport matplotlib.pyplot as plt# CIFAR_10 is a set of 60K images 32x32 pixels on 3 channelsIMG_CHANNELS = 3IMG_ROWS = 32IMG_COLS = 32#constantBATCH_SIZE = 128NB_EPOCH = 20NB_CLASSES = 10VERBOSE = 1VALIDATION_SPLIT = 0.2OPTIM = RMSprop()#load dataset(X_train, y_train), (X_test, y_test) = cifar10.load_data()print('X_train shape:', X_train.shape)print(X_train.shape[0], 'train samples')print(X_test.shape[0], 'test samples')# convert to categoricalY_train = np_utils.to_categorical(y_train, NB_CLASSES)Y_test = np_utils.to_categorical(y_test, NB_CLASSES)# float and normalizationX_train = X_train.astype('float32')X_test = X_test.astype('float32')X_train /= 255X_test /= 255# networkmodel = Sequential()model.add(Conv2D(32, (3, 3), padding='same',input_shape=(IMG_ROWS, IMG_COLS, IMG_CHANNELS)))model.add(Activation('relu'))model.add(MaxPooling2D(pool_size=(2, 2)))model.add(Dropout(0.25))model.add(Flatten())model.add(Dense(512))model.add(Activation('relu'))model.add(Dropout(0.5))model.add(Dense(NB_CLASSES))model.add(Activation('softmax'))model.summary()# trainmodel.compile(loss='categorical_crossentropy', optimizer=OPTIM,metrics=['accuracy'])model.fit(X_train, Y_train, batch_size=BATCH_SIZE,epochs=NB_EPOCH, validation_split=VALIDATION_SPLIT,verbose=VERBOSE)score = model.evaluate(X_test, Y_test,batch_size=BATCH_SIZE, verbose=VERBOSE)print("Test score:", score[0])print('Test accuracy:', score[1])#save modelmodel_json = model.to_json()open('cifar10_architecture.json', 'w').write(model_json)#And the weights learned by our deep network on the training setmodel.save_weights('cifar10_weights.h5', overwrite=True)model = Sequential()model.add(Conv2D(32, (3, 3), padding='same',input_shape=(IMG_ROWS, IMG_COLS, IMG_CHANNELS)))model.add(Activation('relu'))model.add(Conv2D(32, (3, 3), padding='same'))model.add(Activation('relu'))model.add(MaxPooling2D(pool_size=(2, 2)))model.add(Dropout(0.25))model.add(Conv2D(64, (3, 3), padding='same'))model.add(Activation('relu'))model.add(Conv2D(64, 3, 3))model.add(Activation('relu'))model.add(MaxPooling2D(pool_size=(2, 2)))model.add(Dropout(0.25))model.add(Flatten())model.add(Dense(512))model.add(Activation('relu'))model.add(Dropout(0.5))model.add(Dense(NB_CLASSES))model.add(Activation('softmax'))from keras.preprocessing.image import ImageDataGeneratorfrom keras.datasets import cifar10import numpy as npNUM_TO_AUGMENT=5#load dataset(X_train, y_train), (X_test, y_test) = cifar10.load_data()# augumentingprint("Augmenting training set images...")datagen = ImageDataGenerator(rotation_range=40,width_shift_range=0.2,height_shift_range=0.2,zoom_range=0.2,horizontal_flip=True,fill_mode='nearest')xtas, ytas = [], []for i in range(X_train.shape[0]): num_aug = 0x = X_train[i] # (3, 32, 32)x = x.reshape((1,) + x.shape) # (1, 3, 32, 32)for x_aug in datagen.flow(x, batch_size=1,save_to_dir='preview', save_prefix='cifar', save_format='jpeg'): if num_aug >= NUM_TO_AUGMENT: breakxtas.append(x_aug[0])num_aug += 1#fit the datagetdatagen.fit(X_train)# trainhistory = model.fit_generator(datagen.flow(X_train, Y_train,batch_size=BATCH_SIZE), samples_per_epoch=X_train.shape[0],epochs=NB_EPOCH, verbose=VERBOSE)score = model.evaluate(X_test, Y_test,batch_size=BATCH_SIZE, verbose=VERBOSE)print("Test score:", score[0])print('Test accuracy:', score[1])

Colorado State University Module 8 Business Continuity and Disaster Recovery Plan

For your final Portfolio Project, pretend that you have been hired to write a Business Continuity/Disaster Recovery Plan f ...

Colorado State University Module 8 Business Continuity and Disaster Recovery Plan

For your final Portfolio Project, pretend that you have been hired to write a Business Continuity/Disaster Recovery Plan for an organization. The organization has multiple locations within a state or states and only has an in-house infrastructure setup. No Cloud-based services for this organization are used.Using the material from Chapter 8 of the textbook, build a complete Business Continuity/Disaster Recovery Plan for this fictitious organization. Write a paper that contains and describes the complete Business Continuity/Disaster Recovery Plan components and offers a detailed explanation of each component of the plan. Provide information on the process flow, when a disaster happens, and individuals and actions required to occur within the organization. The disaster type is your choice, though it must have an impact on more than one component of the plan.Your paper should be 8-10 pages in length, not including graphic materials, and conform to the CSU-Global Guide to Writing and APA (Links to an external site.). Include at least seven credible references in addition to the course textbook. The CSU-Global Library is a good place to find these references.

Stakeholders Assignment

400 to 600 words Before you start this assignment, please read the story entitled The Importance of Knowing Your Own Secur ...

Stakeholders Assignment

400 to 600 words Before you start this assignment, please read the story entitled The Importance of Knowing Your Own Security Posture. After reviewing the story, conduct research online into the various possibilities for conducting a risk assessment for organizations. Address the following:Discuss the specific recommendations that you would make based on your personal experience and research.Discuss the impact (from the perspective of various stakeholders) of the use of a risk assessment to stop an attack.How can technology be used as an enabler for the risk-assessment process?How can technology be a detractor for the risk-assessment process?Provide specific examples of how you would conduct a risk assessment.How can you apply the lessons that you learned from the story to your own company problem?Provide feedback on the recommendations that your classmates made.

10 pages

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THE DANGERS OF ADDED SUGAR AND JUNK FOOD CONSUMPTION Cardiovascular and chronic conditions are one of the top courses of d ...

Dangers of junk food and added sugar edited

THE DANGERS OF ADDED SUGAR AND JUNK FOOD CONSUMPTION Cardiovascular and chronic conditions are one of the top courses of death in the current