We use the tf-slim library for creating this regression Neural Network model to predict the output-values for any input x. This model can be applied for all functions of y=f(x) and can be remodelled to any number of features

• Jupyter Notebook
• Tensorflow

The train inputs and outputs are persent in dtset.txt as space-seperated values . Provide the validation dataset in the file testset.txt.Then create a folder called ckpt for storing the checkpoint.

The distribution of training dataset is :

The distribution of validated dataset along with original value and prediction:

Red indicates ground-truth value blue indicates predicted value

More the training set more accurate the predictions.