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How can you implement CNN in Tensorflow ?
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Answer / Rishi Kant Misra
To implement a Convolutional Neural Network (CNN) in TensorFlow, you first need to define the model architecture. This involves specifying input shape, convolution layers with filters and strides, pooling layers, fully connected layers, and activation functions. Then, compile the model using an optimizer and loss function. Finally, train the model on your dataset.
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