Course Code: dlv
Duration: 21 hours
Prerequisites:

需要任何程式設計語言知識。熟悉 Machine Learning 不是必需的，但有益。

Overview:

聽眾

本課程適合有興趣利用可用工具（主要是開源）分析計算機圖像的Deep Learning研究人員和工程師

本課程提供了工作實例。

Course Outline:

深度學習與 Machine Learning 與其他方法

  • 當 Deep Learning 合適時
  • Deep Learning 的限制
  • 比較不同方法的準確性和成本

方法概述

  • 網路和層
  • 前向/後向：分層組合模型的基本計算。
  • 損失：要學習的任務由損失定義。
  • 求解器：求解器協調模型優化。
  • 層目錄：層是建模和計算的基本單元
  • 卷積

方法和模型

  • 反向支柱，模組化模型
  • Logsum 模組
  • RBF凈值
  • MAP/MLE 丟失
  • 參數空間變換
  • 卷積模組
  • 基於梯度的學習
  • 推理能量，
  • 學習目標
  • 主成分分析;NLL：
  • 潛在變數模型
  • 概率 LVM
  • 損失函數
  • 使用快速 R-CNN 進行檢測
  • 使用 LSTM 的序列和使用 LRCN 的視覺 + 語言
  • 使用FCN進行圖元級預測
  • 框架設計與未來

工具

  • Caffe
  • 張量流
  • R
  • Matlab的
  • 別人。。。
Sites Published:

United Arab Emirates - Deep Learning for Vision

Qatar - Deep Learning for Vision

Egypt - Deep Learning for Vision

Saudi Arabia - Deep Learning for Vision

South Africa - Deep Learning for Vision

Brasil - Deep Learning for Vision

Canada - Deep Learning for Vision

中国 - Deep Learning for Vision

香港 - Deep Learning for Vision

澳門 - Deep Learning for Vision

台灣 - Deep Learning for Vision

USA - Deep Learning for Vision

Österreich - Deep Learning for Vision

Schweiz - Deep Learning for Vision

Deutschland - Deep Learning for Vision

Czech Republic - Deep Learning for Vision

Denmark - Deep Learning for Vision

Estonia - Deep Learning for Vision

Finland - Deep Learning for Vision

Greece - Deep Learning for Vision

Magyarország - Deep Learning for Vision

Ireland - Deep Learning for Vision

Luxembourg - Deep Learning for Vision

Latvia - Deep Learning for Vision

España - Aprendizaje Profundo para Vision

Italia - Deep Learning for Vision

Lithuania - Deep Learning for Vision

Nederland - Deep Learning for Vision

Norway - Deep Learning for Vision

Portugal - Deep Learning for Vision

România - Deep Learning for Vision

Sverige - Deep Learning for Vision

Türkiye - Deep Learning for Vision

Malta - Deep Learning for Vision

Belgique - Deep Learning for Vision

France - Deep Learning for Vision

日本 - Deep Learning for Vision

Australia - Deep Learning for Vision

Malaysia - Deep Learning for Vision

New Zealand - Deep Learning for Vision

Philippines - Deep Learning for Vision

Singapore - Deep Learning for Vision

Thailand - Deep Learning for Vision

Vietnam - Deep Learning for Vision

India - Deep Learning for Vision

Argentina - Aprendizaje Profundo para Vision

Chile - Aprendizaje Profundo para Vision

Costa Rica - Aprendizaje Profundo para Vision

Ecuador - Aprendizaje Profundo para Vision

Guatemala - Aprendizaje Profundo para Vision

Colombia - Aprendizaje Profundo para Vision

México - Aprendizaje Profundo para Vision

Panama - Aprendizaje Profundo para Vision

Peru - Aprendizaje Profundo para Vision

Uruguay - Aprendizaje Profundo para Vision

Venezuela - Aprendizaje Profundo para Vision

Polska - Deep Learning for Vision

United Kingdom - Deep Learning for Vision

South Korea - Deep Learning for Vision

Pakistan - Deep Learning for Vision

Sri Lanka - Deep Learning for Vision

Bulgaria - Deep Learning for Vision

Bolivia - Aprendizaje Profundo para Vision

Indonesia - Deep Learning for Vision

Kazakhstan - Deep Learning for Vision

Moldova - Deep Learning for Vision

Morocco - Deep Learning for Vision

Tunisia - Deep Learning for Vision

Kuwait - Deep Learning for Vision

Oman - Deep Learning for Vision

Slovakia - Deep Learning for Vision

Kenya - Deep Learning for Vision

Nigeria - Deep Learning for Vision

Botswana - Deep Learning for Vision

Slovenia - Deep Learning for Vision

Croatia - Deep Learning for Vision

Serbia - Deep Learning for Vision

Bhutan - Deep Learning for Vision

Nepal - Deep Learning for Vision

Uzbekistan - Deep Learning for Vision