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Create Random data define Tensor flow use the Linear Regression find out the Training cost, testing cost , absolute mean square error
Input:
Random numbers from 0, 10 with space 100
Code (Approach)
Used the ICP code
Defining placeholder, weight, bais for tensorflow and trian with lenear regression model data and test. find out the absolute mean square error
Added noise to the data
Modified the linear regression equation
Output
Output with out noise
Output after adding noise
Observation:
Training cost and mean square error is low with noise
Contritbution of Team Members:
100% for both since both team members completed the assignment individually.