Create a computer vision system using decision tree algorithms to solve a real-world problem : Code to build a perceptro

The video tutorial guides viewers through building a simple perceptron model using Keras and TensorFlow. It begins with an introduction to the perceptron model, followed by importing necessary libraries like pandas, numpy, matplotlib, and seaborn for data manipulation and visualization. The tutorial then demonstrates loading and visualizing a sample dataset, preparing it for training, and constructing the perceptron model in a sequential manner. Finally, it reviews the model summary, including the initialization of weights and biases.

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