[INFO] Initializing machine learning training job. Model: Convolutional Neural Network Dataset: MNIST Hyperparameters: ; - Learning Rate: 0.001; - Batch Size: 64 [INFO] Loading training data. Training data loaded successfully. Number of training samples: 60,000 [INFO] Loading validation data. Validation data loaded successfully. Number of validation samples: 10,000 [INFO] Training started. Epoch 1/10; - Loss: 0.532; - Accuracy: 0.812 Epoch 2/10; - Loss: 0.398; - Accuracy: 0.874 Epoch 3/10; - Loss: 0.325; - Accuracy: 0.901 ... (training progress) Training completed. [INFO] Validation started. Validation loss: 0.287 Validation accuracy: 0.915 Model performance meets validation criteria. Saving the model. [INFO] Testing the trained model. Test loss: 0.298 Test accuracy: 0.910 [INFO] Deploying the trained model to production. Model deployment successful. API endpoint: http://your-api-endpoint/predict [INFO] Monitoring system initialized. Monitoring metrics:; - CPU Usage: 25%; - Memory Usage: 40%; - GPU Usage: 80% [ALERT] High GPU Usage Detected! Scaling resources to handle increased load. [INFO] Machine learning training job completed successfully. Total training time: 3 hours and 45 minutes. [INFO] Cleaning up resources. Job artifacts removed. Training environment closed. [INFO] Image processing web server started. Listening on port 8080. [INFO] Received image processing request from client at IP address 192.168.1.100. Preprocessing image: resizing to 800x600 pixels. Image preprocessing completed successfully. [INFO] Applying filters to enhance image details. Filters applied: sharpening, contrast adjustment. Image enhancement completed. [INFO] Generating thumbnail for the processed image. Thumbnail generated successfully. [INFO] Uploading processed image to the user's gallery. Image successfully added to the gallery. Image ID: 123456. [INFO] Sending notification to the user: Image processing complete. Notification sent successfully. [ERROR] Failed to process image due to corrupted file format. Informing the client about the issue. Client notified about the image processing failure. [INFO] Image processing web server shutting down. Cleaning up resources. Server shutdown complete.