Deep Learning for Computer Vision

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

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