SOLUTION: CU 9 Step Process in Conducting a Neural Network Project Discussion

Attached. Please let me know if you have any questions or need revisions.1Neural Network learning projectStudent’s NameCourseInstructor’s NameDate2Part 1: List and briefly describe the nine-step process in con-ducting a neural networkproject.Nine steps include:a) Collection, organization, and formatting of dataThere is data collection, and in good technique, it is organized and makes the data available foruse in the network training and for testing the managed networks. Mining data from databases,there are several data mining algorithms. The data gathered to get used in the process; therefore,there should not be any mistakes that pass this point as it will impact the project’s quality.b) Training, authentication, and testing groups of the data separationAfter the collection, the data analysis proceeds, and the resultant gets separated into two: test dataand training data—these two types of data used in testing the network.c) Defining the network structureThere is the selection of the network architecture, and the development tool’s availability helpsdevelop the network. This step allows the determination of the input and output nodes and selectingthe topography of the network.d) Algorithm selection learning.Development of the learning algorithm is required to identify weights that should cover the trainingdata in the best convenient way.e) Parameters setting3There is an observation of the networking momentum and the learning rate parameters monitoredin training and adjustments to control the speed.f) Data transformation.Data conversion is necessary where it includes changing data from a format to anothe…

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