Deep Learning Course Outline Quiz

What is the main focus of Reinforcement Learning?

Maximizing reward in a particular situation

Which learning approach involves a model being trained with the correct answer itself?

Supervised Learning

What is the goal of Convolutional Neural Networks (CNNs)?

Analyzing unstructured data like images

Which technique involves machines finding the best possible behavior or path in a specific situation?

Reinforcement Learning Signup and view all the answers

What distinguishes Reinforcement Learning from Supervised Learning?

Reinforcement learning has no answer key in training data Signup and view all the answers

Which type of learning involves a reinforcement agent deciding what to do to perform given tasks?

Reinforcement Learning Signup and view all the answers

What is the main difference between supervised/unsupervised learning and reinforcement learning?

Reinforcement learning uses algorithms that learn from outcomes and decide which action to take next Signup and view all the answers

What is the purpose of the feedback received by the reinforcement learning algorithm after each action?

To determine if the choice made was correct, neutral or incorrect Signup and view all the answers

What is the goal of the reinforcement learning algorithm?

To maximize the reward received Signup and view all the answers

Which of the following is an example of a reinforcement learning application?

Automated systems that have to make a lot of small decisions without human guidance Signup and view all the answers

How does a master chess player make a move?

The choice is informed by planning and anticipating possible replies and counter-replies Signup and view all the answers

Which of the following is a limitation of pre-programmed robots in structured environments?

They cannot adapt to changes in the environment Signup and view all the answers

What can make it difficult to diagnose and fix problems related to agent behavior?

The unclear reasons behind the agent's behavior Signup and view all the answers

In a Deep L-layer Neural Network, what does L represent?

Number of layers Signup and view all the answers

What is the purpose of back propagation in Neural Networks?

To propagate errors backwards for updating weights Signup and view all the answers

Deep Learning Course Outline Quiz

Questions and Answers

What is the main focus of Reinforcement Learning?

Which learning approach involves a model being trained with the correct answer itself?

What is the goal of Convolutional Neural Networks (CNNs)?

Which technique involves machines finding the best possible behavior or path in a specific situation?

What distinguishes Reinforcement Learning from Supervised Learning?

Which type of learning involves a reinforcement agent deciding what to do to perform given tasks?

What is the main difference between supervised/unsupervised learning and reinforcement learning?

What is the purpose of the feedback received by the reinforcement learning algorithm after each action?

What is the goal of the reinforcement learning algorithm?

Which of the following is an example of a reinforcement learning application?

How does a master chess player make a move?

Which of the following is a limitation of pre-programmed robots in structured environments?

What can make it difficult to diagnose and fix problems related to agent behavior?

In a Deep L-layer Neural Network, what does L represent?

What is the purpose of back propagation in Neural Networks?

Which part of a Neural Network involves the calculation zl = wl.al-1 + bl?

What is a common hyper-parameter in Neural Networks?

What aspect of the deep learning approach is compared to the human brain?

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