whether forward and predict in deep learning are the same
21 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
robinho robinho
il 13 Ago 2022
Risposto: Souvik Das
il 18 Ago 2022
So far I think they are the same but may I confirm?
0 Commenti
Risposta accettata
Souvik Das
il 18 Ago 2022
'forward' is used to compute deep learning network output for TRAINING whereas 'predict' is used to compute deep learning network output for INFERENCE.
In some cases like yours, both may give similar results, however some deep learning layers behave differently during training and inference (prediction). For example, during training, dropout layers randomly set input elements to zero to help prevent overfitting, but during inference, dropout layers do not change the input.
Please refer the below links for more details-
0 Commenti
Più risposte (1)
Souvik Das
il 18 Ago 2022
I am assuming with 'forward', you mean 'forward propagation'. Deep learning networks usually have a lot of layers. Each layer accepts input data, processes it as per the activation function and passes it to the next layer. This is called 'forward propagation'.
In an abstract way, you can say 'prediction' is something that happens with the last layer where we get the final results from our deep learning network.
So 'prediction' and 'forward propagation' have a minor difference between them.
Vedere anche
Categorie
Scopri di più su Image Data Workflows in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!