Deep Learning for Computer Vision

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The goal of this course is to walk you through the process of efficiently training machine learning and deep learning models for Computer Vision using the most up-to-date techniques. The course is designed to familiarize you with neural networks, enabling you to train them efficiently, customize existing state-of-the-art architectures, build real-world Java applications, and get great results in a short space of time. You will build real-world Computer Vision applications, ranging from a simple Java handwritten digit recognition model to real-time Java autonomous car driving systems and face recognition models.

Basic computer skills, internet access, basic analytic or programming skills are a prerequisite for this course.

3 Dasys/Lecture & Lab

  • Introduction to Computer Vision and Training Neural Networks
  • Convolutional Neural Network Architectures
  • Transfer Learning and Deep CNN Architectures
  • Real-Time Object Detection
  • Creating Art with Neural Style Transfer
:; Face Recognition

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