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Hand Digit Recognition Using Convolutional Neural Network(CNN): #2

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Anshika14528 opened this issue May 27, 2024 · 4 comments
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@Anshika14528
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Handwritten digit recognition involves classifying images of handwritten digits (0-9) into their respective categories. CNNs are particularly well-suited for this task due to their ability to automatically and adaptively learn spatial hierarchies of features through backpropagation by using multiple building blocks, such as convolution layers, pooling layers, and fully connected layers.

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@Anshika14528 Anshika14528 changed the title Hand Digit Recognition Using Convulutional Neural Network(CNN): Hand Digit Recognition Using Convolutional Neural Network(CNN): May 27, 2024
@sanjay-kv
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Make sure you create seperate folder and add the same

@lassmara
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Please assign me this issue.

@itssiddhantjain
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Hello @sanjay-kv , please assign this issue to me as I have already worked on this kind of problem in the past.

Anshika14528 added a commit to Anshika14528/machine-learning-repos that referenced this issue May 28, 2024
sanjay-kv added a commit that referenced this issue Jun 1, 2024
Hand Digit Recognition Using Convolutional Neural Network(CNN): #2
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github-actions bot commented Jun 1, 2024

Hello @Anshika14528! Your issue #2 has been closed. Thank you for your contribution!

sanjay-kv pushed a commit that referenced this issue Jun 5, 2024
sanjay-kv pushed a commit that referenced this issue Jun 11, 2024
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4 participants