Building a Simple AI Model Building a Simple AI Model: A Step-by-Step Guide with Real Code and Outputs Artificial intelligence (AI) is transforming industries by learning patterns from data and making intelligent decisions. Today, we'll focus on a practical implementation by building a simple AI model using Python and TensorFlow that classifies handwritten digits from the MNIST dataset. Along with the code, we also include output to help you understand the steps. What are we building? We build a neural network that can classify images of handwritten digits (0-9). The dataset consists of 28x28 grayscale images of digits, and the model predicts which digits the image represents. Step 1: Installing Dependencies Start by installing the required libraries. Run the following command: pip install tensorflow numpy matplotlib Step 2: Importing Libraries Now, import the libraries we need to build the model: import tensorflow as tf from tensorflow.keras i...
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