Bone Fracture Detection Using CNN in TensorFlow | Deep Learning Projects | AIML

📂Dataset: Link is given in the pinned comment. 🚀 In this video, we build a Bone Fracture Detection System using Convolutional Neural Networks (CNN) with TensorFlow and Keras. This is a complete Deep Learning Project where we train a CNN model to classify X-ray images into Fracture and Not Fracture categories. You'll learn how to preprocess image datasets, apply data augmentation, build a CNN model from scratch, train the model, evaluate its performance, visualize accuracy and loss graphs, and make predictions on new X-ray images. 📚 Topics Covered ✅ Bone Fracture Detection Project ✅ Deep Learning Project using CNN ✅ TensorFlow & Keras Implementation ✅ ImageDataGenerator & Data Augmentation ✅ Building CNN from Scratch ✅ Convolution Layer ✅ Max Pooling Layer ✅ Flatten Layer ✅ Fully Connected Layer ✅ Binary Classification ✅ Model Training & Validation ✅ Accuracy & Loss Evaluation ✅ Predicting Bone Fracture from X-ray Images 🛠 Technologies Used Python TensorFlow Keras CNN (Convolutional Neural Network) NumPy Matplotlib 🎯 Who Should Watch? Beginners in Deep Learning Machine Learning Students AI Enthusiasts Computer Vision Learners Data Science Aspirants Final Year Project Students Anyone looking for Deep Learning Projects 📌 If you enjoyed this project: 👍 Like the video 💬 Comment your doubts and suggestions 🔔 Subscribe to NexTechX for more AI, Machine Learning, Deep Learning, Computer Vision, and Real-World Projects.