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What is the primary function of the Fully Connected Layer (FCP) in a Convolutional Neural Network (CNN)?
  • a)
    To perform convolution operations on the input image
  • b)
    To flatten the output of the previous layers into a single vector
  • c)
    To classify the image based on the features extracted
  • d)
    To apply pooling techniques to reduce dimensionality
Correct answer is option 'C'. Can you explain this answer?
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What is the primary function of the Fully Connected Layer (FCP) in a C...
The Fully Connected Layer (FCP) serves the essential purpose of classifying images based on features extracted by prior convolution and pooling layers. After processing through these layers, the output is transformed into a single vector, where each value corresponds to the probability of the image belonging to a specific label. This final classification step is crucial for tasks such as identifying objects in images, and it relies on the effective extraction of relevant features by the CNN.
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What is the primary function of the Fully Connected Layer (FCP) in a Convolutional Neural Network (CNN)?a) To perform convolution operations on the input imageb) To flatten the output of the previous layers into a single vectorc) To classify the image based on the features extractedd) To apply pooling techniques to reduce dimensionalityCorrect answer is option 'C'. Can you explain this answer? for Class 10 2025 is part of Class 10 preparation. The Question and answers have been prepared according to the Class 10 exam syllabus. Information about What is the primary function of the Fully Connected Layer (FCP) in a Convolutional Neural Network (CNN)?a) To perform convolution operations on the input imageb) To flatten the output of the previous layers into a single vectorc) To classify the image based on the features extractedd) To apply pooling techniques to reduce dimensionalityCorrect answer is option 'C'. Can you explain this answer? covers all topics & solutions for Class 10 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for What is the primary function of the Fully Connected Layer (FCP) in a Convolutional Neural Network (CNN)?a) To perform convolution operations on the input imageb) To flatten the output of the previous layers into a single vectorc) To classify the image based on the features extractedd) To apply pooling techniques to reduce dimensionalityCorrect answer is option 'C'. Can you explain this answer?.
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