On week 6 you are required to post a reflection that addresses a peer’s post following Week #3 discussion. Reflective response post should be at least 150 words and relevant to and addresses 1 other student’s original posting regarding the specified discussion topic. Make sure you provide appropriate references and utilize APA style. To obtain full credit, students must follow the above requirements. This […]

   Module 3 Assessment Part 1: Practice QuizThis practice quiz will consist of 20 questions drawn from three banks of questions related to the key ideas of the module.Please take a screenshot of your quiz attempt and copy into a Word document to submit to the Module 3 Dropbox as noted in the Directions for Submitting Your Assessment section.Module 3 Assessment Part 2: Data Flow […]

Create jupyter notebook file: Intro_NN_XORGATE.ipynb ****Exercise**** # Uncomment the xor_gate line and find out which neurons besides the or_gate neuron the# network should have in its hidden and output layer to produce the right values. in[]class Network():def __init__(self, gate1, gate2, out_gate):self.hidden_neuron1 = gate1self.hidden_neuron2 = gate2self.out_neuron = out_gatedef activate(self, x1, x2):z1 = self.hidden_neuron1.activate(x1, x2)z2 = self.hidden_neuron2.activate(x1, x2)return self.out_neuron.activate(z1, z2)#xor_gate = Network(…, …, and_gate)make_truth_table(xor_gate) ****Exercise**** # Finish […]

USE Jupyter Notebook NB: Please only do Tasks 1-2 We will combine what we’ve learned about convolution, max-pooling and feed-forward layers, to build a ConvNet classifier for images. Given Code: in[]from __future__ import absolute_import, division, print_function # Prerequisits!pip install pydot_ng!pip install graphviz!apt install graphviz > /dev/null # import statementsimport tensorflow as tfimport tensorflow.contrib.eager as tfeimport numpy as npimport matplotlib.pyplot as pltfrom IPython import display%matplotlib inline […]

  CM220M5-1: Develop strategies for effective problem solving using digital media. Assessment objective: Think of the power of some commercials to get us to think about buying a new product, voting for a particular candidate, or contributing to a cause. Many of these commercials combine words, images, and sound in ways that appeal to our senses and emotions in a way that words alone may not be able to […]

The 4MAT Review is a way of responding to readings, lectures, and life experiences that requires you, the learner, to interact with new ideas on several levels. You will write a review for the McMinn textbook. In preparing your 4MAT Review, use each of the sections listed below with corresponding Level One headings in current APA format: Provide      a title page including only your name, […]

  EDPT 516: Vocational and Transition Planning Iris Peabody Transition Module Activities: Answer each question.   Explain what Secondary Transition is and why is it important for students with disabilities. What can school personnel do to help students I n the transition planning process 1.   What is secondary transition? Why is it important for school personnel to help students plan for post-school transitions? 2.   List […]

In the textbook reading, you learned about the importance of audience analysis when making a presentation. In the Topic Material, “Selling Yourself and Your Ideas to Senior Management,” there are tips about making effective presentations geared to your audience. Think about your skills as a presenter, and identify two key areas that you need to improve on in order to be more effective when making […]

  Submit your case study analysis. It should be a complete, polished artifact containing all of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course on your three milestone assignments. To complete this assignment, review the Final Project Document.     Final Project (work I have already completed)    As per the rules passed by criminal justice […]

 Professional Assignment 2 – CLO 1, CLO 2, CLO 3, CLO 4, CLO 5 The link below directs you to a file that contains mortality information from a nursing home during the year 2015. The variable “died” indicates that if the patient died before the end of the year. Given this data, develop a logistic regression model, which predicts probability of death of a guest […]