/RegressionUsingFullyConnectedNN_2Linear_ReLU_DO

implementing Linear Regression using neural network containing two linear layer and a ReLU activation function and also a Dropout layer to prevent overfitting to data

Primary LanguageJupyter NotebookMIT LicenseMIT

RegressionUsingFullyConnectedNN_2Linear_ReLU_DO.ipynb

implementing Linear Regression using neural network containing two linear layer and a ReLU activation function and also a Dropout layer to prevent overfitting to data

Dataset

you can download dataset from this URL

requirements

after installing requirement.txt file using command

pip install -r requirements.txt

Note

hiddenlayer is a graphical simulator that can implement different layers of neural network for better understanding you might have some problems with it in that case, you can go to pytorch_builder.py source file and change _optimize_trace to _optimize_graph this will solve the problem or you can simply comment this part and skip it