Deep Learning Image Classification

CNN models using TensorFlow and PyTorch achieving 90% accuracy with distributed GPU training

📤Select Sample Image
Dog
Dog
Cat
Cat
Car
Car
Airplane
Airplane

Model Architecture

• Convolutional Neural Network (CNN)

• ResNet-50 backbone with transfer learning

• Trained on ImageNet + custom dataset

• TensorFlow & PyTorch implementations

Classification Results
Select a sample image to see AI-powered classification results
Technical Implementation & Business Impact

⚡Deep Learning Architecture

  • • CNN models with TensorFlow
  • • PyTorch implementation
  • • Complex image recognition tasks
  • • 90% accuracy achieved

☁️Distributed GPU Training

  • • AWS and GCP environments
  • • Multi-GPU parallel training
  • • Optimized pipeline architecture
  • • 60% training time reduction

Production Deployment

  • • Scalable inference pipeline
  • • Real-time predictions
  • • Model versioning & monitoring
  • • Cloud-native architecture
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