prediction student performance using Deep Learning.CNN
Budget: $15 – $25 USD
I have the full code and I need a review .
An experiment to predict student performance using Deep Learning.
We can try applying these models and compare the accuracy, precision, recall and F1 score. (also we can try only fully connected NN to be used as a baseline)
CNN with one dimension as input
Fully connected followed by CNN
CNN followed by Fully connected followed by CNN.
I preprocessed the dataset , to be suitable for classification problem (pass/fail) , the file contains the 3 models .
Want to check correct or not :
X_train , y_train , y_test, X_test
Input shape, numbers of neurons on each layer , number of neurons at output layer.
I am trying to train and evaluate the model and I get the results , but we I open it gain, and try to run it the accuracy not changing constant, even if I change number of epochs, I don’t know what the problem is
An experiment to predict student performance using Deep Learning.
We can try applying these models and compare the accuracy, precision, recall and F1 score. (also we can try only fully connected NN to be used as a baseline)
CNN with one dimension as input
Fully connected followed by CNN
CNN followed by Fully connected followed by CNN.
I preprocessed the dataset , to be suitable for classification problem (pass/fail) , the file contains the 3 models .
Want to check correct or not :
X_train , y_train , y_test, X_test
Input shape, numbers of neurons on each layer , number of neurons at output layer.
I am trying to train and evaluate the model and I get the results , but we I open it gain, and try to run it the accuracy not changing constant, even if I change number of epochs, I don’t know what the problem is