fundamentals of machine learning figure effect of model capacit on validat ion losst rying smaller model as you can seethe smaller network starts overfitting later than the reference network (after six epochs rather than four)and its performance degrades more slowly once it starts overfitting nowfor kickslet' add to this benchmark network that has much more capacity--far more than the problem warrants listing version of he model with higher capacit model models sequential(model add(layers dense( activation='relu'input_shape=( ,))model add(layers dense( activation='relu')model add(layers dense( activation='sigmoid')figure shows how the bigger network fares compared to the reference network the dots are the validation loss values of the bigger networkand the crosses are the initial network figure effect of model capacit on validat ion losst rying bigger model licensed to