This graph shows the training and validation loss against the epochs for a neural network. The network being trained is as follows: Two dense layers, one output neuron 100 neurons in each layer 100 epochs Random initialization of weights Which technique can be used to improve model performance in terms of accuracy in the validation set?
A) Early stopping
B) Random initialization of weights with appropriate seed
C) Increasing the number of epochs
D) Adding another layer with the 100 neurons

Question

This graph shows the training and validation loss against the epochs for a neural network. The network being trained is as follows: Two dense layers, one output neuron 100 neurons in each layer 100 epochs Random initialization of weights  Which technique can be used to improve model performance in terms of accuracy in the validation set?
A) Early stopping 
B) Random initialization of weights with appropriate seed 
C) Increasing the number of epochs 
D) Adding another layer with the 100 neurons

Quizplus · Accepted Answer

The Answer of This graph shows the training and validation loss against the epochs for a neural network. The network being trained is as follows: Two dense layers, one output neuron 100 neurons in each layer 100 epochs Random initialization of weights  Which technique can be used to improve model performance in terms of accuracy in the validation set?
A) Early stopping 
B) Random initialization of weights with appropriate seed 
C) Increasing the number of epochs 
D) Adding another layer with the 100 neurons

This Graph Shows the Training and Validation Loss Against the Epochs