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.