Andreas Maier

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17JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Regularization – Part 1
Bias-Variance Trade-off These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. If […]
Read more about Lecture Notes in Deep Learning: Regularization – Part 1
16JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 4
Pooling Mechanisms These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. If […]
Read more about Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 4
15JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 3
Convolutional Layers These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. If […]
Read more about Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 3
14JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 2
Modern Activations These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. If […]
Read more about Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 2
13JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 1
Classical Activations These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. If […]
Read more about Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 1
12JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Loss and Optimization – Part 3
Optimization with ADAM and beyond… These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications […]
Read more about Lecture Notes in Deep Learning: Loss and Optimization – Part 3