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mhjensen
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README.md
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@@ -343,7 +343,8 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
- Lab Wednesday: Work on project 2
- Lecture Thursday: Deep learning and Neural Networks
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage
- Lecture Friday: Convolutional Neural Networks, basic elements
- Lecture Friday: Tensorflow and the mathematics of neural networks
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 41 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For neural networks we recommend Goodfellow et al chapters 6 and 7. For CNNs, see Goodfellow et al chapter 9. chapter 11 and 12 on practicalities and applications. See also Aurelien Geron's chapters 10-11 at https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf.
doc/LectureNotes/schedule.md
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@@ -103,7 +103,7 @@ For the reading assignments we use the following abbreviations:
- Lab Wednesday: Wrap up project 1
- 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
- Lecture Friday: Deep Learning and Neural Networks: the back propagation algorithm
- 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.
@@ -112,9 +112,10 @@ For the reading assignments we use the following abbreviations:
### Week 41 October 11-15
- Lab Wednesday: Work on project 2
- Lecture Thursday: Deep learning and Neural Networks
- Lecture Thursday: Deep learning and Neural Networks, developing a code for Neural Networks
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage
- Lecture Friday: Convolutional Neural Networks, basic elements
- Lecture Friday: Tensorflow and the mathematics of neural network
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 41 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For neural networks we recommend Goodfellow et al chapters 6 and 7. For CNNs, see Goodfellow et al chapter 9. chapter 11 and 12 on practicalities and applications
doc/pub/week41/html/._week41-bs001.html
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@@ -282,6 +282,7 @@ MathJax.Hub.Config({
<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage" target="_self">Video of Lecture</a></li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li>
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage" target="_self">Video of Lecture</a></li>
</ul>
Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
doc/pub/week41/html/week41-reveal.html
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@@ -165,6 +165,7 @@ MathJax.Hub.Config({
<p><li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
<p><li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li>
<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
</ul>
<p>
doc/pub/week41/html/week41-solarized.html
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@@ -225,6 +225,7 @@ MathJax.Hub.Config({
<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li>
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
</ul>
Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
doc/pub/week41/html/week41.html
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@@ -230,6 +230,7 @@ MathJax.Hub.Config({
<li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
<li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li>
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
</ul>
Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
doc/pub/week41/ipynb/ipynb-week41-src.tar.gz
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doc/src/week41/week41.do.txt
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@@ -9,6 +9,7 @@ DATE: today
* Thursday: Building our own Feed-forward Neural Network and discussion of project 2.
* "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage"
* Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).
* "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureOctober15.mp4?vrtx=view-as-webpage"
Reading suggestions for both days: "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
extbooks/TensorflowML.pdf".