Skip to content

Commit 15df3a6

Browse files
mhjensenmhjensen
committed
update week 6
1 parent 9579d0d commit 15df3a6

File tree

8 files changed

+311
-493
lines changed

8 files changed

+311
-493
lines changed

‎doc/pub/week6/html/week6-bs.html‎

Lines changed: 6 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -270,7 +270,8 @@ <h2 id="plans-for-the-week-february-24-28-2025" class="anchor">Plans for the wee
270270
<div class="panel-body">
271271
<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
272272
<ol>
273-
<li> Intro to and mathematics of Recurrent Neural Networks (RNNs)
273+
<li> Intro to and mathematics of Recurrent Neural Networks (RNNs)</li>
274+
<li> More material will be added
274275
<!-- o <a href="https://youtu.be/DhuQ1H9RwfQ" target="_self">Video of lecture</a> -->
275276
<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesFebruary13.pdf" target="_self">Whiteboard notes</a> --></li>
276277
</ol>
@@ -285,15 +286,15 @@ <h2 id="reading-recommendations" class="anchor">Reading recommendations </h2>
285286
<div class="panel-body">
286287
<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
287288
<ol>
288-
<li> For RNNs, see Goodfellow et al chapter 10.</li>
289-
<li> Reading suggestions for implementation of RNNs in PyTorch: <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch15" target="_self">See Rashcka et al.'s chapter 15 and GitHub site</a>.</li>
289+
<li> For RNNs, see Goodfellow et al chapter 10, see <a href="https://www.deeplearningbook.org/contents/rnn.html" target="_self"><tt>https://www.deeplearningbook.org/contents/rnn.html</tt></a>.</li>
290+
<li> Reading suggestions for implementation of RNNs in PyTorch: see Rashcka et al.'s chapter 15 and GitHub site at <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch15" target="_self"><tt>https://github.com/rasbt/machine-learning-book/tree/main/ch15</tt></a>.</li>
290291
</ol>
291292
<!-- !split -->
292293
<h2 id="tensorflow-examples" class="anchor">TensorFlow examples </h2>
293294
<p>For TensorFlow (using Keras) implementations, we recommend</p>
294295
<ol>
295-
<li> <a href="https://github.com/davidADSP/Generative_Deep_Learning_2nd_Edition/tree/main/notebooks/02_deeplearning/02_cnn" target="_self">David Foster Generative Learning, see chapters 2 and 3 from the GitHub link</a></li>
296-
<li> <a href="https://github.com/raghavbali/generative_ai_with_tensorflow" target="_self">Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapter 3</a></li>
296+
<li> David Foster, Generative Deep Learning with TensorFlow, see chapter 5 at <a href="https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch05.html" target="_self"><tt>https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch05.html</tt></a></li>
297+
<li> Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapters 2 and 3 at <a href="https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2" target="_self"><tt>https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2</tt></a></li>
297298
</ol>
298299
</div>
299300
</div>

‎doc/pub/week6/html/week6-reveal.html‎

Lines changed: 6 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -198,7 +198,8 @@ <h2 id="plans-for-the-week-february-24-28-2025">Plans for the week February 24-2
198198
<b></b>
199199
<p>
200200
<ol>
201-
<p><li> Intro to and mathematics of Recurrent Neural Networks (RNNs)
201+
<p><li> Intro to and mathematics of Recurrent Neural Networks (RNNs)</li>
202+
<p><li> More material will be added
202203
<!-- o <a href="https://youtu.be/DhuQ1H9RwfQ" target="_blank">Video of lecture</a> -->
203204
<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesFebruary13.pdf" target="_blank">Whiteboard notes</a> --></li>
204205
</ol>
@@ -212,17 +213,17 @@ <h2 id="reading-recommendations">Reading recommendations </h2>
212213
<b></b>
213214
<p>
214215
<ol>
215-
<p><li> For RNNs, see Goodfellow et al chapter 10.</li>
216-
<p><li> Reading suggestions for implementation of RNNs in PyTorch: <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch15" target="_blank">See Rashcka et al.'s chapter 15 and GitHub site</a>.</li>
216+
<p><li> For RNNs, see Goodfellow et al chapter 10, see <a href="https://www.deeplearningbook.org/contents/rnn.html" target="_blank"><tt>https://www.deeplearningbook.org/contents/rnn.html</tt></a>.</li>
217+
<p><li> Reading suggestions for implementation of RNNs in PyTorch: see Rashcka et al.'s chapter 15 and GitHub site at <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch15" target="_blank"><tt>https://github.com/rasbt/machine-learning-book/tree/main/ch15</tt></a>.</li>
217218
</ol>
218219
</section>
219220

220221
<section>
221222
<h2 id="tensorflow-examples">TensorFlow examples </h2>
222223
<p>For TensorFlow (using Keras) implementations, we recommend</p>
223224
<ol>
224-
<p><li> <a href="https://github.com/davidADSP/Generative_Deep_Learning_2nd_Edition/tree/main/notebooks/02_deeplearning/02_cnn" target="_blank">David Foster Generative Learning, see chapters 2 and 3 from the GitHub link</a></li>
225-
<p><li> <a href="https://github.com/raghavbali/generative_ai_with_tensorflow" target="_blank">Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapter 3</a></li>
225+
<p><li> David Foster, Generative Deep Learning with TensorFlow, see chapter 5 at <a href="https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch05.html" target="_blank"><tt>https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch05.html</tt></a></li>
226+
<p><li> Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapters 2 and 3 at <a href="https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2" target="_blank"><tt>https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2</tt></a></li>
226227
</ol>
227228
</div>
228229
</section>

‎doc/pub/week6/html/week6-solarized.html‎

Lines changed: 6 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -229,7 +229,8 @@ <h2 id="plans-for-the-week-february-24-28-2025">Plans for the week February 24-2
229229
<b></b>
230230
<p>
231231
<ol>
232-
<li> Intro to and mathematics of Recurrent Neural Networks (RNNs)
232+
<li> Intro to and mathematics of Recurrent Neural Networks (RNNs)</li>
233+
<li> More material will be added
233234
<!-- o <a href="https://youtu.be/DhuQ1H9RwfQ" target="_blank">Video of lecture</a> -->
234235
<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesFebruary13.pdf" target="_blank">Whiteboard notes</a> --></li>
235236
</ol>
@@ -243,15 +244,15 @@ <h2 id="reading-recommendations">Reading recommendations </h2>
243244
<b></b>
244245
<p>
245246
<ol>
246-
<li> For RNNs, see Goodfellow et al chapter 10.</li>
247-
<li> Reading suggestions for implementation of RNNs in PyTorch: <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch15" target="_blank">See Rashcka et al.'s chapter 15 and GitHub site</a>.</li>
247+
<li> For RNNs, see Goodfellow et al chapter 10, see <a href="https://www.deeplearningbook.org/contents/rnn.html" target="_blank"><tt>https://www.deeplearningbook.org/contents/rnn.html</tt></a>.</li>
248+
<li> Reading suggestions for implementation of RNNs in PyTorch: see Rashcka et al.'s chapter 15 and GitHub site at <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch15" target="_blank"><tt>https://github.com/rasbt/machine-learning-book/tree/main/ch15</tt></a>.</li>
248249
</ol>
249250
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
250251
<h2 id="tensorflow-examples">TensorFlow examples </h2>
251252
<p>For TensorFlow (using Keras) implementations, we recommend</p>
252253
<ol>
253-
<li> <a href="https://github.com/davidADSP/Generative_Deep_Learning_2nd_Edition/tree/main/notebooks/02_deeplearning/02_cnn" target="_blank">David Foster Generative Learning, see chapters 2 and 3 from the GitHub link</a></li>
254-
<li> <a href="https://github.com/raghavbali/generative_ai_with_tensorflow" target="_blank">Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapter 3</a></li>
254+
<li> David Foster, Generative Deep Learning with TensorFlow, see chapter 5 at <a href="https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch05.html" target="_blank"><tt>https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch05.html</tt></a></li>
255+
<li> Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapters 2 and 3 at <a href="https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2" target="_blank"><tt>https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2</tt></a></li>
255256
</ol>
256257
</div>
257258

‎doc/pub/week6/html/week6.html‎

Lines changed: 6 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -306,7 +306,8 @@ <h2 id="plans-for-the-week-february-24-28-2025">Plans for the week February 24-2
306306
<b></b>
307307
<p>
308308
<ol>
309-
<li> Intro to and mathematics of Recurrent Neural Networks (RNNs)
309+
<li> Intro to and mathematics of Recurrent Neural Networks (RNNs)</li>
310+
<li> More material will be added
310311
<!-- o <a href="https://youtu.be/DhuQ1H9RwfQ" target="_blank">Video of lecture</a> -->
311312
<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesFebruary13.pdf" target="_blank">Whiteboard notes</a> --></li>
312313
</ol>
@@ -320,15 +321,15 @@ <h2 id="reading-recommendations">Reading recommendations </h2>
320321
<b></b>
321322
<p>
322323
<ol>
323-
<li> For RNNs, see Goodfellow et al chapter 10.</li>
324-
<li> Reading suggestions for implementation of RNNs in PyTorch: <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch15" target="_blank">See Rashcka et al.'s chapter 15 and GitHub site</a>.</li>
324+
<li> For RNNs, see Goodfellow et al chapter 10, see <a href="https://www.deeplearningbook.org/contents/rnn.html" target="_blank"><tt>https://www.deeplearningbook.org/contents/rnn.html</tt></a>.</li>
325+
<li> Reading suggestions for implementation of RNNs in PyTorch: see Rashcka et al.'s chapter 15 and GitHub site at <a href="https://github.com/rasbt/machine-learning-book/tree/main/ch15" target="_blank"><tt>https://github.com/rasbt/machine-learning-book/tree/main/ch15</tt></a>.</li>
325326
</ol>
326327
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
327328
<h2 id="tensorflow-examples">TensorFlow examples </h2>
328329
<p>For TensorFlow (using Keras) implementations, we recommend</p>
329330
<ol>
330-
<li> <a href="https://github.com/davidADSP/Generative_Deep_Learning_2nd_Edition/tree/main/notebooks/02_deeplearning/02_cnn" target="_blank">David Foster Generative Learning, see chapters 2 and 3 from the GitHub link</a></li>
331-
<li> <a href="https://github.com/raghavbali/generative_ai_with_tensorflow" target="_blank">Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapter 3</a></li>
331+
<li> David Foster, Generative Deep Learning with TensorFlow, see chapter 5 at <a href="https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch05.html" target="_blank"><tt>https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch05.html</tt></a></li>
332+
<li> Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapters 2 and 3 at <a href="https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2" target="_blank"><tt>https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2</tt></a></li>
332333
</ol>
333334
</div>
334335

‎doc/pub/week6/ipynb/ipynb-week6-src.tar.gz‎

0 Bytes
Binary file not shown.

0 commit comments

Comments
 (0)