Computer Vision for Industrial Inspection
     
 
    
      
        
  
  
      
        
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      Course Overview
      In this Deep Learning Institute (DLI) workshop, developers will learn how to create an end-to-end hardware-accelerated industrial inspection pipeline to automate defect detection. Using NVIDIA’s own real production data set as an example, we’ll illustrate how the application can be easily applied to a variety of manufacturing use cases. Developers will also learn to identify and mitigate common pitfalls in deep learning-based computer vision tasks, and be able to deploy and measure the effectiveness of their AI solution.
    
  
  
      Who Should Attend
    
      Developers who use Python
    
  
  
      Course Objectives
    
      
- Extract meaningful insights from the provided data set using Pandas DataFrame.
 
- Apply transfer-learning to a deep learning classification model.
 
- Fine-tune the deep learning model and set up evaluation metrics.
 
- Deploy and measure model performance.
 
- Experiment with various inference configurations to optimize model performance.
 
    
      
    
  
  
	
  
  
	
  
  
	
  Course Outline
    
            
                
- Course Introduction
 
- Data Exploration and Pre-Processing with DALI
 
- Efficient Model Training with TAO Toolkit
 
- Model Deployment for Inference
 
- Assessment and Q&A
 
             
        
 
     
    
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    Class times are listed Eastern time
    
        This is a 1-day class
        
		
  Class dates not listed.
Please contact us for available dates and times.