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TensorFlow Playground is an educational visualization tool for understanding neural networks. It allows users to interactively build and train simple models for classification tasks by adjusting layers, neurons, activation functions, and other parameters. The interface provides real-time feedback on training loss and accuracy, with visualizations of data and decision boundaries. It requires no coding, making it perfect for students and beginners to grasp ML concepts like gradient descent and overfitting.
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