Demystifying AI: A Beginner's Guide to Building Your First Neural Network with Keras

How to build a simple AI model using Python and Keras. It covers importing necessary libraries, loading and preparing the Iris dataset, one-hot encoding labels, and splitting the data into training and test sets. It then guides you through creating a sequential neural network, compiling the model, training it, evaluating its performance, and making predictions. The tutorial highlights that with modern libraries like Keras, developing AI models is accessible and straightforward for beginners.

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