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Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #8

Artificial Neural Networks MCQ #71:

What is the function of the pooling layer in a CNN?

About Artificial Neural Networks Multiple Choice Question (MCQ) #71:
This ICT Multiple Choice Question (ICT MCQ) #71 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question evaluates the purpose of pooling layers in CNNs.
Artificial Neural Networks MCQ #72:

Which component of an LSTM network controls the flow of information from the cell state to the output?

About Artificial Neural Networks Multiple Choice Question (MCQ) #72:
This ICT Multiple Choice Question (ICT MCQ) #72 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses the function of the output gate in an LSTM network.
Artificial Neural Networks MCQ #73:

What is a key advantage of using deep neural networks over shallow networks?

About Artificial Neural Networks Multiple Choice Question (MCQ) #73:
This ICT Multiple Choice Question (ICT MCQ) #73 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses the primary benefit of deep neural networks compared to shallow networks.
Artificial Neural Networks MCQ #74:

What is a key feature of TensorFlow that supports production deployment of models?

About Artificial Neural Networks Multiple Choice Question (MCQ) #74:
This ICT Multiple Choice Question (ICT MCQ) #74 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses a feature of TensorFlow that facilitates the deployment of models in production.
Artificial Neural Networks MCQ #75:

What is the main benefit of using deep Q-networks (DQN) in reinforcement learning?

About Artificial Neural Networks Multiple Choice Question (MCQ) #75:
This ICT Multiple Choice Question (ICT MCQ) #75 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses the main benefit of using deep Q-networks (DQN) in reinforcement learning.
Artificial Neural Networks MCQ #76:

How can neural networks contribute to biased outcomes?

About Artificial Neural Networks Multiple Choice Question (MCQ) #76:
This ICT Multiple Choice Question (ICT MCQ) #76 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses how neural networks can contribute to biased outcomes.
Artificial Neural Networks MCQ #77:

What is an important consideration when deploying neural networks on edge devices?

About Artificial Neural Networks Multiple Choice Question (MCQ) #77:
This ICT Multiple Choice Question (ICT MCQ) #77 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses an important consideration when deploying neural networks on edge devices.
Artificial Neural Networks MCQ #78:

What was a primary challenge in early neural network models like the perceptron that limited their ability to solve complex problems?

About Artificial Neural Networks Multiple Choice Question (MCQ) #78:
This ICT Multiple Choice Question (ICT MCQ) #78 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question tests the understanding of early limitations in neural network models like the perceptron.
Artificial Neural Networks MCQ #79:

Which function does the neuron use to compute the output after summing the inputs and applying the activation function?

About Artificial Neural Networks Multiple Choice Question (MCQ) #79:
This ICT Multiple Choice Question (ICT MCQ) #79 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question examines the role of the transfer function in a neuron.
Artificial Neural Networks MCQ #80:

Which algorithm is commonly used to optimize the weights in neural networks?

About Artificial Neural Networks Multiple Choice Question (MCQ) #80:
This ICT Multiple Choice Question (ICT MCQ) #80 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question tests knowledge of optimization algorithms used in neural network training.
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  • This online test, titled "Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #8" is designed for individuals at the advanced level and focuses on "Artificial Neural Networks". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Artificial Neural Networks".
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