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Q: What is accretive behaviour?
    What is accretive behaviour? (a) not a type of pattern clustering task (b) for small noise variations pattern lying ... (d) none of the mentioned Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: What is Interpolative behaviour?
    What is Interpolative behaviour? (a) not a type of pattern clustering task (b) for small noise variations pattern ... d) none of the mentioned Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: Does pattern association involves non linear units in feedforward neural network?
    Does pattern association involves non linear units in feedforward neural network? (a) yes (b) no I had been ... Neural Networks of Neural Networks Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: What is the feature that doesn’t belongs to pattern classification in feeddorward neural networks?
    What is the feature that doesn't belongs to pattern classification in feeddorward neural networks? (a) recall is direct ... units (d) two layers Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: What is the feature that doesn’t belongs to pattern mapping in feeddorward neural networks?
    What is the feature that doesn't belongs to pattern mapping in feeddorward neural networks? (a) recall is direct (b ... units (d) two layers Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: In determination of weights by learning, for orthogonal input vectors what kind of learning should be employed?
    In determination of weights by learning, for orthogonal input vectors what kind of learning should be employed? (a) hebb ... (d) no learning law Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: In determination of weights by learning, for linear input vectors what kind of learning should be employed?
    In determination of weights by learning, for linear input vectors what kind of learning should be employed? (a) hebb ... (d) no learning law Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: In determination of weights by learning, for noisy input vectors what kind of learning should be employed?
    In determination of weights by learning, for noisy input vectors what kind of learning should be employed? (a) hebb ... (d) no learning law Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: What are the features that can be accomplished using affine transformations?
    What are the features that can be accomplished using affine transformations? (a) arbitrary rotation (b) scaling (c) ... d) all of the mentioned Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: What is the features that cannot be accomplished earlier without affine transformations?
    What is the features that cannot be accomplished earlier without affine transformations? (a) arbitrary rotation (b) ... all of the mentioned Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: what are affine transformations?
    what are affine transformations? (a) addition of bias term (-1) which results in arbitrary rotation, scaling, ... ) none of the mentioned Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
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Q: Can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors?
    Can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors? ... of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: Number of output cases depends on what factor?
    Number of output cases depends on what factor? (a) number of inputs (b) number of distinct classes (c) total number ... (d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: For noisy input vectors, Hebb methodology of learning can be employed?
    For noisy input vectors, Hebb methodology of learning can be employed? (a) yes (b) no This question was ... Neural Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: What is the objective of perceptron learning?
    What is the objective of perceptron learning? (a) class identification (b) weight adjustment (c) adjust weight along ... d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: In perceptron learning, what happens when input vector is correctly classified?
    In perceptron learning, what happens when input vector is correctly classified? (a) small adjustments in weight ... classification of input vector Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: When two classes can be separated by a separate line, they are known as?
    When two classes can be separated by a separate line, they are known as? (a) linearly separable (b) linearly ... (d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: Two classes are said to be inseparable when?
    Two classes are said to be inseparable when? (a) there may exist straight lines that doesn't touch each other (b) ... (d) all of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: Is it necessary to set initial weights in prceptron convergence theorem to zero?
    Is it necessary to set initial weights in prceptron convergence theorem to zero? (a) yes (b) no The ... Neural Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: The perceptron convergence theorem is applicable for what kind of data?
    The perceptron convergence theorem is applicable for what kind of data? (a) binary (b) bipolar (c) both binary and ... (d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: Convergence in perceptron learning takes place if and only if:
    Convergence in perceptron learning takes place if and only if: (a) a minimal error condition is satisfied (b) actual ... (d) all of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: If pattern classes are linearly separable then hypersurfaces reduces to straight lines?
    If pattern classes are linearly separable then hypersurfaces reduces to straight lines? (a) yes (b) no This ... Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: As dimensionality of input vector increases, what happens to linear separability?
    As dimensionality of input vector increases, what happens to linear separability? (a) increases (b) decreases (c) ... 't depend on dimensionality Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: In a three layer network, shape of dividing surface is determined by?
    In a three layer network, shape of dividing surface is determined by? (a) number of units in second layer (b) ... (d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: In a three layer network, number of classes is determined by?
    In a three layer network, number of classes is determined by? (a) number of units in second layer (b) number of ... (d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: Intersection of linear hyperplanes in three layer network can only produce convex surfaces, is the statement true?
    Intersection of linear hyperplanes in three layer network can only produce convex surfaces, is the statement true? ... Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: Intersection of convex regions in three layer network can only produce convex surfaces, is the statement true?
    Intersection of convex regions in three layer network can only produce convex surfaces, is the statement true? (a ... Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: If the output produces nonconvex regions, then how many layered neural is required at minimum?
    If the output produces nonconvex regions, then how many layered neural is required at minimum? (a) 2 (b) 3 (c) 4 (d) 5 Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: Can all hard problems be handled by a multilayer feedforward neural network, with nonlinear units?
    Can all hard problems be handled by a multilayer feedforward neural network, with nonlinear units? (a) yes ( ... Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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Q: What is a mapping problem?
    What is a mapping problem? (a) when no restrictions such as linear separability is placed on the set of input - ... (d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
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