Kuis Jaringan Syaraf Tiruan

Kuis Jaringan Syaraf Tiruan

University

10 Qs

quiz-placeholder

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Kuis Jaringan Syaraf Tiruan

Kuis Jaringan Syaraf Tiruan

Assessment

Quiz

Science

University

Hard

Created by

Sybil Sybil

Used 1+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 6 pts

Sebutkan komponen utama dari arsitektur jaringan syaraf!

Router, switch, firewall, protokol

Server, client, bandwidth, topologi

Data, paket, alamat, enkripsi

Neuron, lapisan, fungsi aktivasi, bobot

2.

FILL IN THE BLANK QUESTION

1 min • 10 pts

Apa yang dimaksud dengan proses pelatihan dalam jaringan syaraf?

3.

FILL IN THE BLANK QUESTION

10 mins • 10 pts

Jelaskan prinsip dasar dari algoritma McCulloch-Pitts!

4.

FILL IN THE BLANK QUESTION

2 mins • 8 pts

Bagaimana cara belajar algoritma Hebb rule?

5.

MULTIPLE CHOICE QUESTION

30 sec • 10 pts

Apa perbedaan antara supervised dan unsupervised learning?

Supervised learning uses labeled data for training, while unsupervised learning uses unlabeled data to find patterns.

Supervised learning is used for clustering, while unsupervised learning is used for classification.

Supervised learning requires no data for training, while unsupervised learning requires labeled data.

Supervised learning can only be applied to images, while unsupervised learning can be applied to text.

6.

MULTIPLE CHOICE QUESTION

30 sec • 8 pts

Jelaskan peran neuron dalam jaringan syaraf tiruan!

Neuron hanya ada di otak manusia.

Neuron tidak memiliki peran dalam pembelajaran mesin.

Neuron hanya berfungsi untuk mengirimkan sinyal listrik.

Neuron berfungsi sebagai unit dasar pemrosesan informasi dalam jaringan syaraf tiruan.

7.

FILL IN THE BLANK QUESTION

1 min • 10 pts

Sebutkan keuntungan menggunakan jaringan syaraf dibandingkan metode tradisional!

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