cnn python implementation
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sure, i'll provide you with a basic tutorial on implementing a convolutional neural network (cnn) in python using a popular deep learning library called tensorflow. before you begin, make sure you have tensorflow installed:
now, let's create a simple cnn for image classification using the famous mnist dataset, which consists of grayscale hand-written digits from 0 to 9.
this code defines a simple cnn architecture using the tensorflow keras api. here's a breakdown of the code:
import libraries:
load and preprocess data:
build the cnn model:
compile the model:
train the model:
evaluate the model:
feel free to experiment with different architectures, hyperparameters, and datasets to deepen your understanding of cnns in tensorflow.
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