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n all likelihood, developmental and life transition issues will form the core of your work as a couple and family practitioner. These issues are those that couples and families typically encounter through common day-to-day living and may include being newly married, having a child, or sending a youngest child off into his or her own adulthood. They also may include common stressors, such as divorce, job loss, or death of a family member, just to name a few. Individuals across all cultures experience developmental and life transition issues in one way or another, and you will likely find yourself sitting across from a couple or family experiencing a similar life event to one you have encountered in your own life.

Despite the universality of many developmental and life transition issues, you should still keep in mind that there is no one way to experience a divorce, death, or job loss, nor is there one way to clinically encounter and assist a couple or family experiencing such issues. Different theoretical orientations may suggest different ways for addressing various scenarios, and you may have to modify your chosen theoretical orientation to work effectively in your professional practice.

For this Discussion, choose one life transition or developmental issue, and consider how you might modify your theoretical orientation and/or infuse interventions from other theories in order to address this issue.

By Day 3

Post a brief description of the life transition or developmental issue you selected and your chosen theoretical orientation. Then, explain how you might modify the theory-based interventions of your chosen theoretical orientation to work effectively with client(s) experiencing the issue you selected. Finally, explain the significant aspects of the life transition or developmental issue that influence how you would modify the application of your chosen theoretical orientation.

Required Readings

Gurman, A. S., Lebow, J. L., Snyder, D. K. (2015). Clinical handbook of couple therapy. New York, NY: The Guilford Press.
Chapter 17, “Therapy with Couples in Step Families”
Chapter 18, “Gay, Lesbian, and Bisexual Issues in Couple Therapy”
Chapter 19, “Couple Therapy and Intercultural Relationship”

Hartwell, E. E., Serovich, J. M., Reed, S. J., Boisvert, D., & Falbo, T. (2017). A systematic review of Gay, Lesbian, and Bisexual research samples in couple and family therapy journals. Journal Of Marital and Family Therapy, 43(3), 482-501.

Williams, M. (2012). Couples counseling: A step by step guide for therapists. Boston, MA: Viale Publishing.
Chapter 5, “4th Session: Couple’s Dialogue” (pp. 85–99)
Chapter 6, “5th Session: Problem Solving & Compromise” (pp. 101–126)
Chapter 9, “8th Session: Taking Responsibility” (pp. 177–190)

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Problem Description The MNIST database of handwritten digits (from 0 to 9) has a training set of 55,000 examples, and a test set of 10,000 examples. The digits have been size-normalized and centered in a fixed-size image (28×28 pixels) with values from 0 to 1. You can use the following code with TensorFlow in Python to download the data. from keras.datasets import mnist (x_train, y_train), (x_test, y_test) = mnist.load_data() Every MNIST data point has two parts: an image of a handwritten digit and a corresponding label. We will call the images ? and the labels ?. Both the training set and test set contain ? and ?. Each image is 28 pixels by 28 pixels and can be flattened into a vector of 28×28 = 784 numbers. As mentioned, the corresponding labels in the MNIST are numbers between 0 and 9, describing which digit a given image is of. In this assignment, we regard the labels as one-hot vectors, i.e. 0 in most dimensions, and 1 in a single dimension. In this case, the ?-th digit will be represented as a vector which is 1 in the ? dimensions. For example, 3 would be [0,0,0,1,0,0,0,0,0,0]. The assignment aims to build NNs for classifying handwritten digits in the MNIST database, train it on the training set and test it on the test set. Please read the following comments and requirements very carefully before starting the assignment: 1. The assignment is based on the content of Labs. 2. In Lecture 1, we talked about the use of training set, validation set and test set in machine learning. In the assignment, you are asked to train the NN on the training set and test the NN on the test set, instead of doing the two steps on the same data set as what was done in Lab 5. You do NOT need the validation set in the assignment. 3. In the assignment, the performance of a NN is measured by the its prediction accuracy in classifying images from the test set, i.e. number of the correctly predicted images / number of the images in the test set. 4. You are asked to model THREE NNs by changing the architecture. For example, you may change the number of layers, use different type of layers, and try various activation layers. 5. You are encouraged to repeatedly train and test your NNs with different parameter setting, e.g. learning rate. 6. Your report MUST at least contain the following content a. Names and student numbers of all group members;

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