update schedule
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@@ -135,7 +135,7 @@ For the reading assignments we use the following abbreviations:
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- Lecture Thursday: Recurrent Neural Networks
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- Video of Lecture at https://youtu.be/Hm6Ay5DS6o0
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- Lecture Friday: Recurrent Neural Networks and time series and principal component analysis (PCA)
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- Video of Lecture at
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- Video of Lecture at https://youtu.be/JHfgQ77fpqs
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- Reading recommendations:
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- See lecture notes for week 43 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
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- For RNNs, see Goodfellow et al chapter 10 and discussions in chapter 11 and 12 on practicalities and applications
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@@ -723,7 +723,7 @@ const thebe_selector_output = ".output, .cell_output"
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</li>
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<li><p>Lecture Friday: Recurrent Neural Networks and time series and principal component analysis (PCA)</p>
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<ul>
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<li><p>Video of Lecture at</p></li>
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<li><p>Video of Lecture at <a class="reference external" href="https://youtu.be/JHfgQ77fpqs">https://youtu.be/JHfgQ77fpqs</a></p></li>
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</ul>
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</li>
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<li><p>Reading recommendations:</p>
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@@ -135,7 +135,7 @@ For the reading assignments we use the following abbreviations:
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- Lecture Thursday: Recurrent Neural Networks
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- Video of Lecture at https://youtu.be/Hm6Ay5DS6o0
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- Lecture Friday: Recurrent Neural Networks and time series and principal component analysis (PCA)
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- Video of Lecture at
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- Video of Lecture at https://youtu.be/JHfgQ77fpqs
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- Reading recommendations:
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- See lecture notes for week 43 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
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- For RNNs, see Goodfellow et al chapter 10 and discussions in chapter 11 and 12 on practicalities and applications
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