correcting typos

doc/src/week44/week44.do.txt

@@ -9,12 +9,12 @@ DATE: October 28-November 1
 !bblock Material for the lecture Monday October 28, 2024
 o Convolutional  Neural Networks
 o Readings and Videos:
-  * These lecture notes
+  * These lecture notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb"
   * For a more in depth discussion on  neural networks we recommend Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications
-  * Reading suggestions for implementation of CNNs: "Rashcka et al.'s chapter 14":"https://github.com/rasbt/machine-learning-book/tree/main/ch14". T    
-  * "Video on Deep Learning":"https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi"
-  * "Video  on Convolutional Neural Networks from MIT":"https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini"
-  * "Video on CNNs from Stanford":"https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering"
+  * Reading suggestions for implementation of CNNs see URL:"Rashcka et al.'s chapter 14":"https://github.com/rasbt/machine-learning-book/tree/main/ch14".     
+  * Video on Deep Learning at URL:"https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi"
+  * Video  on Convolutional Neural Networks from MIT at URL:"https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini"
+  * Video on CNNs from Stanford at URL:"https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering"
 !eblock
 
 
@@ -873,7 +873,7 @@ With parameter sharing, the convolution involves thus  for each filter  $F\times
 In total we have
 !bt
 \[
-\left(F\times F\times D_1)\right) \times K+(K\mathrm{--biases}),
+\left(F\times F\times D_1\right) \times K+K_{\mathrm{biases}},
 \]
 !et
 parameters to train by back propagation.