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update of schedule

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Morten Hjorth-Jensen
2021-10-08 14:28:25 +02:00
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commit 5b760658c7
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README.md
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@@ -334,6 +334,7 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
- Lecture Thursday: Stochastic gradient methods and start discussion of neural networks
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober7.mp4?vrtx=view-as-webpage
- Lecture Friday: Deep Learning and Neural Networks
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 40 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For neural networks we recommend Goodfellow et al chapters 6 and 7 and Bishop 5.1-5.4
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doc/LectureNotes/_build/html/_sources/schedule.md
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@@ -104,6 +104,7 @@ For the reading assignments we use the following abbreviations:
- Lecture Thursday: Stochastic gradient descent, automatic differentiation and start discussion of feed-forward Neural Network code for regression and classification
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober7.mp4?vrtx=view-as-webpage
- Lecture Friday: Deep Learning and Neural Networks
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 40 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For neural networks we recommend Goodfellow et al chapters 6 and 7 and Bishop 5.1-5.4
doc/LectureNotes/_build/html/schedule.html
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@@ -540,7 +540,11 @@
<li><p>Video of Lecture at <a class="reference external" href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober7.mp4?vrtx=view-as-webpage">https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober7.mp4?vrtx=view-as-webpage</a></p></li>
</ul>
</li>
<li><p>Lecture Friday: Deep Learning and Neural Networks</p></li>
<li><p>Lecture Friday: Deep Learning and Neural Networks</p>
<ul>
<li><p>Video of Lecture at <a class="reference external" href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage">https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage</a></p></li>
</ul>
</li>
<li><p>Reading recommendations:</p>
<ul>
<li><p>See lecture notes for week 40 at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a>.</p></li>
doc/LectureNotes/_build/html/searchindex.js
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doc/LectureNotes/schedule.md
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@@ -104,6 +104,7 @@ For the reading assignments we use the following abbreviations:
- Lecture Thursday: Stochastic gradient descent, automatic differentiation and start discussion of feed-forward Neural Network code for regression and classification
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober7.mp4?vrtx=view-as-webpage
- Lecture Friday: Deep Learning and Neural Networks
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 40 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For neural networks we recommend Goodfellow et al chapters 6 and 7 and Bishop 5.1-5.4