Practice Fundamentals Of Neural Networks (7.1) - Deep Learning & Neural Networks
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Engineering Courses
Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Certifications
Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Fundamentals of Neural Networks

Practice - Fundamentals of Neural Networks

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is an artificial neuron based on?

💡 Hint: Think about the biological inspiration mentioned.

Question 2 Easy

Name the three types of layers in a Multi-Layer Perceptron.

💡 Hint: Consider the overall structure of the MLP.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main component of a perceptron?

Activation function
Weight
Both a and b

💡 Hint: Think about how a perceptron processes inputs.

Question 2

True or False: A Multi-Layer Perceptron consists of only one layer.

True
False

💡 Hint: Recall the structure of an MLP from our discussion.

Get performance evaluation

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a simple perceptron model for a binary classification problem, detailing the inputs, weights, activation function, and output.

💡 Hint: Think about how each input could influence the decision.

Challenge 2 Hard

If an MLP comprises three layers with specific neuron counts, explain how changing the number of neurons in the hidden layer might impact learning outcomes.

💡 Hint: Reflect on how capacity affects learning.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.