Practice Fundamentals of Neural Networks - 7.1 | 7. Deep Learning & Neural Networks | Advance Machine Learning
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7.1 - Fundamentals of Neural Networks

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is an artificial neuron based on?

πŸ’‘ Hint: Think about the biological inspiration mentioned.

Question 2

Easy

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

πŸ’‘ Hint: Consider the overall structure of the MLP.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the main component of a perceptron?

  • Activation function
  • Weight
  • Both a and b

πŸ’‘ Hint: Think about how a perceptron processes inputs.

Question 2

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

  • True
  • False

πŸ’‘ Hint: Recall the structure of an MLP from our discussion.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

πŸ’‘ Hint: Think about how each input could influence the decision.

Question 2

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.

πŸ’‘ Hint: Reflect on how capacity affects learning.

Challenge and get performance evaluation