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
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