In this video, we build a Convolutional Neural Network (CNN) model using TensorFlow & Keras to classify Chest X-Ray images into two categories: Normal and Pneumonia.
We will walk through the complete pipeline step by step:
✅ Importing and preprocessing the dataset
✅ Building a CNN model (Convolution, ReLU, Pooling, Dense Layers)
✅ Compiling and training the model with training & validation data
✅ Evaluating the model using accuracy, precision, recall, and F1-score
✅ Interpreting the classification report and confusion matrix
✅ Predicting pneumonia cases from unseen chest X-rays
Dataset Link: https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia/data
#DeepLearning #CNN #TensorFlow #MedicalAI #PneumoniaDetection #ImageClassification
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