Creating a Handwritten Digit Recognition Model with Convolutional Neural Networks

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In this video, we will create a deep learning model using TensorFlow and the MNIST dataset that can accurately classify handwritten digits. We will work through the code step by step and analyze the model's performance through visualizations. Join me as we explore the power of Convolutional Neural Networks and their ability to accurately classify images.
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