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Q: What is structural learning?
What is structural learning? (a) concerned with capturing input-output relationship in patterns (b) concerned with ... none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: What is temporal learning?
What is temporal learning? (a) concerned with capturing input-output relationship in patterns (b) concerned with ... none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: What is unsupervised learning?
What is unsupervised learning? (a) weight adjustment based on deviation of desired output from actual output (b) ... ) none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: Learning methods can only be online?
Learning methods can only be online? (a) yes (b) no This question was addressed to me in unit test. ... and Synaptic Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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Q: Online learning allows network to incrementally adjust weights continuously?
Online learning allows network to incrementally adjust weights continuously? (a) yes (b) no This question was ... Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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Q: What is nature of input in activation dynamics?
What is nature of input in activation dynamics? (a) static (b) dynamic (c) both static & dynamic (d) none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: Adjustments in activation is slower than that of synaptic weights?
Adjustments in activation is slower than that of synaptic weights? (a) yes (b) no This question was ... Synaptic Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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Q: what does the term wij(0) represents in synaptic dynamic model?
what does the term wij(0) represents in synaptic dynamic model? (a) a prioi knowledge (b) just a constant ... significance (d) future adjustments Please answer the above question....
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Sep 5, 2022
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Q: What is hebbian learning?
What is hebbian learning? (a) synaptic strength is proportional to correlation between firing of post & presynaptic ... none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: What is differential hebbian learning?
What is differential hebbian learning? (a) synaptic strength is proportional to correlation between firing of post & ... post & presynaptic neuron Please answer the above question....
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Sep 5, 2022
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Q: What is competitive learning?
What is competitive learning? (a) learning laws which modulate difference between synaptic weight & output signal (b) ... ) none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: What is differential competitive learning?
What is differential competitive learning? (a) synaptic strength is proportional to changes of post & presynaptic neuron ... none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: What is error correction learning?
What is error correction learning? (a) learning laws which modulate difference between synaptic weight & output signal ... none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: Continuous perceptron learning is also known as delta learning?
Continuous perceptron learning is also known as delta learning? (a) yes (b) no I had been asked this ... Synaptic Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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Q: Widrows LMS algorithm is also based on error correction learning?
Widrows LMS algorithm is also based on error correction learning? (a) yes (b) no I had been asked this ... Synaptic Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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Q: Error correction learning is type of?
Error correction learning is type of? (a) supervised learning (b) unsupervised learning (c) can be supervised or ... d) none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: What is reinforcement learning?
What is reinforcement learning? (a) learning is based on evaluative signal (b) learning is based o desired output for ... d) none of the mentioned Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Reinforcement learning is also known as learning with critic?
Reinforcement learning is also known as learning with critic? (a) yes (b) no I got this question in quiz ... Synaptic Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: How many types of reinforcement learning exist?
How many types of reinforcement learning exist? (a) 2 (b) 3 (c) 4 (d) 5 Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: What is fixed credit assignment?
What is fixed credit assignment? (a) reinforcement signal given to input-output pair don't change with time (b) ... (d) none of the mentioned Please answer the above question....
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Sep 5, 2022
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Q: What is probablistic credit assignment?
What is probablistic credit assignment? (a) reinforcement signal given to input-output pair don't change with time (b ... d) none of the mentioned Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: What is temporal credit assignment?
What is temporal credit assignment? (a) reinforcement signal given to input-output pair don't change with time (b) ... (d) none of the mentioned Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Boltzman learning uses what kind of learning?
Boltzman learning uses what kind of learning? (a) deterministic (b) stochastic (c) either deterministic or stochastic (d) none of the mentioned Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Whats true for sparse encoding learning?
Whats true for sparse encoding learning? (a) logical And & Or operations are used for input output relations (b) ... changes in past input values Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Whats true for Drive reinforcement learning?
Whats true for Drive reinforcement learning? (a) logical And & Or operations are used for input output relations ... changes in past input values Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Whats true for Min-max learning?
Whats true for Min-max learning? (a) logical And & Or operations are used for input output relations (b) ... of changes in past input values Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Whats true for principal component learning?
Whats true for principal component learning? (a) logical And & Or operations are used for input output relations ... changes in past input values Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Stability refers to adjustment in behaviour of weights during learning?
Stability refers to adjustment in behaviour of weights during learning? (a) yes (b) no This question was ... Synaptic Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Convergence refers to equilibrium behaviour of activation state?
Convergence refers to equilibrium behaviour of activation state? (a) yes (b) no I have been asked this ... Synaptic Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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JackTerrance
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Q: Stability is minimization of error between the desired & actual outputs?
Stability is minimization of error between the desired & actual outputs? (a) yes (b) no The question was ... Synaptic Dynamics of Neural Networks Please answer the above question....
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Sep 5, 2022
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JackTerrance
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