cnn in python tensorflow
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sure, i'd be happy to provide you with a basic tutorial on convolutional neural networks (cnns) using python and tensorflow. this tutorial will walk you through the process of building a simple cnn for image classification. make sure you have tensorflow installed before you begin. you can install it using:
now, let's create a basic cnn using tensorflow for image classification. we'll use the popular mnist dataset, which consists of grayscale images of handwritten digits (0-9).
this code creates a simple cnn with three convolutional layers followed by max-pooling layers. the final layer is a fully connected layer with a softmax activation function for classification. the model is then compiled and trained on the mnist dataset. finally, it evaluates the model's performance on the test set and makes predictions on a sample image.
feel free to modify and extend this example based on your needs and dataset.
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