cnn python code from scratch
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sure, i'll provide you with a basic tutorial on building a convolutional neural network (cnn) from scratch using python. we'll use the popular deep learning library, tensorflow, along with its high-level api, keras. this tutorial assumes that you have some basic knowledge of python and deep learning concepts.
for simplicity, let's use the famous mnist dataset, which contains grayscale images of handwritten digits (0-9).
congratulations! you have successfully built and trained a simple cnn using tensorflow and keras. this example is quite basic, and in real-world scenarios, you might need more complex architectures and datasets. experiment with different architectures, hyperparameters, and datasets to gain a deeper understanding of cnns.
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