Prof. Dr. - Ing. Morris Riedel

Introduction to Deep Learning Models

Training Course organized by DEEP-EST Project
Juelich Supercomputing Centre, Germany
2019-05-21 – 2019-05-23
[ EVENT ]


Introduction to Deep Learning Models Morris Riedel

[Morris Riedel] Lecture 1 – Deep Learning driven by HPC & Jupyter (pdf, ~10,7 MB)

[Jenia Jitsev] Lecture 2 – Overview of Deep Learning (pdf, ~33,0 MB)

[Morris Riedel] Lecture 3 – Neural Network (pdf, ~14,3 MB)

[Morris Riedel] Lecture 4 – Convolutional Neural Network (pdf, ~9,83 MB)

[Gabriele Cavallaro] Lecture 5 – Introduction to Deep Learning for Remote Sensing & 1D/2D CNNs for Hyperspectral Images Classification (pdf, ~3,86 MB)

[Gabriele Cavallaro] Lecture 6 – 3D CNNs for Hyperspectral Images Classification, Training Set Selection and Performance Evaluation (pdf, ~1,84 MB)

[Morris Riedel] Lecture 7 – Recurrent Neural Network (pdf, ~7,98 MB)

[Morris Riedel] Lecture 8 – LSTM Neural Network (pdf, ~4,74 MB)

[Jenia Jitsev] Lecture 9 – Deep Reinforcement Learning (pdf, ~5,60 MB)

Lecture 10 – Course Summary & Lessons Learned (All)


DEEP-EST Training Introduction to Deep Learning Models Morris Riedel Group

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