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Morten Hjorth-Jensen
2021-10-01 15:50:38 +02:00
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README.md
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@@ -322,7 +322,7 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
- Lecture Thursday: Gradient Optimization methods
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage
- Lecture Friday: Gradient methods
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober1.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 39 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For a good discussion on gradient methods, see Goodfellow et al section 4.3-4.5 and chapter 8. We will come back to the latter chapter in our discussion of Neural networks as well.
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doc/LectureNotes/_build/html/_sources/schedule.md
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@@ -92,7 +92,7 @@ For the reading assignments we use the following abbreviations:
- Lecture Thursday: Gradient Optimization methods
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage
- Lecture Friday: Gradient methods
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober1.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 39 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For a good discussion on gradient methods, see Goodfellow et al section 4.3-4.5 and chapter 8. We will come back to the latter chapter in our discussion of Neural networks as well.
doc/LectureNotes/_build/html/schedule.html
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@@ -518,7 +518,11 @@
<li><p>Video of Lecture at <a class="reference external" href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage">https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage</a></p></li>
</ul>
</li>
<li><p>Lecture Friday: Gradient methods</p></li>
<li><p>Lecture Friday: Gradient methods</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/LectureOctober1.mp4?vrtx=view-as-webpage">https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober1.mp4?vrtx=view-as-webpage</a></p></li>
</ul>
</li>
<li><p>Reading recommendations:</p>
<ul>
<li><p>See lecture notes for week 39 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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@@ -92,7 +92,7 @@ For the reading assignments we use the following abbreviations:
- Lecture Thursday: Gradient Optimization methods
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage
- Lecture Friday: Gradient methods
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober1.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 39 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For a good discussion on gradient methods, see Goodfellow et al section 4.3-4.5 and chapter 8. We will come back to the latter chapter in our discussion of Neural networks as well.