Weights are crucial in network information processing because they store learned patterns of information; and it is through repeated adjustments of these weights that a network learns.
Correct Answer:
Verified
Q1: Supervised learning uses a set of inputs
Q3: Neural network models are designed as exact
Q4: Implementation of an ANN often requires interfaces
Q5: Parallel processing resembles the way the brain
Q6: Typically,the input-output transformation process at the individual
Q7: Several types of data,such as text,pictures,and voice,can
Q8: In neural network,larger data sets increase processing
Q9: Training of artificial neural networks is an
Q10: In network information processing,each input corresponds to
Q11: In general,ANN are sui for problems whose
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents