Course Outline

Introduction to Computer Vision for Government

  • Overview of computer vision applications in public sector workflows
  • Understanding image data and formats used for government projects
  • Challenges in implementing computer vision tasks for government

Introduction to Convolutional Neural Networks (CNNs) for Government

  • What are CNNs and their relevance to public sector applications?
  • Architecture of CNNs: Convolutional layers, pooling, and fully connected layers in government contexts
  • How CNNs are utilized in computer vision tasks for government

Hands-On with TensorFlow and Google Colab for Government

  • Setting up the environment in Google Colab for government users
  • Using TensorFlow for model building in public sector projects
  • Building a simple CNN model in TensorFlow for government applications

Advanced CNN Techniques for Government

  • Transfer learning for CNNs to enhance government models
  • Fine-tuning pre-trained models for government-specific tasks
  • Data augmentation techniques for improved performance in government datasets

Image Preprocessing and Augmentation for Government

  • Image preprocessing techniques (scaling, normalization, etc.) tailored for government data
  • Augmenting image data to improve model training in public sector projects
  • Using TensorFlow’s image data pipeline for government applications

Building and Deploying Computer Vision Models for Government

  • Training CNNs for image classification in government contexts
  • Evaluating and validating model performance for government use cases
  • Deploying models to production environments for government operations

Real-World Applications of Computer Vision for Government

  • Computer vision in healthcare, retail, and security for government agencies
  • AI-powered object detection and recognition in public sector scenarios
  • Using CNNs for face and gesture recognition in government applications

Summary and Next Steps for Government

Requirements

  • Experience with Python programming for government applications
  • Understanding of deep learning concepts for government use cases
  • Basic knowledge of convolutional neural networks (CNNs) for government projects

Audience

  • Data scientists in the public sector
  • AI practitioners for government agencies
 21 Hours

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories