Deep Learning for Computer Vision
Deep Learning for Computer Vision
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Summary
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.
Prerequisites
Basic computer skills, internet access, basic analytic or programming skills are a prerequisite for this course.
Duration
3 Dasys/Lecture & Lab
Audience
Topics
- 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
