This lab explores three approaches to identify a specific feature within an image. Each approach is measured in relation to three metrics: model training time, model accuracy and speed of detection during deployment. On completion of this lab, you will understand the merits of each approach and learn how to detect objects using neural networks trained on NVIDIA DIGITS on real-world datasets.
Lab Details
Tokens Required: 30 Tokens
Levels: Beginner
Duration: 01 h:30 m
Access Time: 01 h:55 m
Setup Time: 00 h:06 m
Tags: Deep Learning, self-paced, Machine Learning, DIGITS
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Zh 简体中文

Reviews 1297

  1. Josep Aulinas
    Great hand on. Starting from easy sliding window approach, through focus of attention and FCN, till detectnet.
    Josep Aulinas Reviewed about 11 hours ago
  2. Haihan Wang

    Haihan Wang Reviewed about 19 hours ago
  3. Arman Abdusamat
    Arman Abdusamat Reviewed about 20 hours ago
  4. hui zheng

    hui zheng Reviewed 1 day ago
  5. Oscar Bragado Zapatero
    MIssing links for description of concepts in which the training is based. Lab fitting in 2 hrs slot (dense material)
    Oscar Bragado Zapatero Reviewed 1 day ago