Master (#21)

* Update README.md

* Update 01b-saturn-cloud.md (DataTalksClub#609)

Update for Saturn Cloud Nov 2024

* Update 01b-saturn-cloud.md (DataTalksClub#611)

tried drag/drop for images

* Update README.md (DataTalksClub#610)

Saturn gives 100 hours this year

---------

Co-authored-by: Alexey Grigorev <alexeygrigorev@users.noreply.github.com>

README.md

@@ -186,25 +186,26 @@ Putting everything we've learned so far in practice!
 
 ## 8. [Neural Networks and Deep Learning](08-deep-learning/)
 
-* 8.1 [Fashion classification](08-deep-learning/01-fashion-classification.md)
-* 8.1b [Setting up the Environment on Saturn Cloud](08-deep-learning/01b-saturn-cloud.md)
-* 8.2 [TensorFlow and Keras](08-deep-learning/02-tensorflow-keras.md)
-* 8.3 [Pre-trained convolutional neural networks](08-deep-learning/03-pretrained-models.md)
-* 8.4 [Convolutional neural networks](08-deep-learning/04-conv-neural-nets.md)
-* 8.5 [Transfer learning](08-deep-learning/05-transfer-learning.md)
-* 8.6 [Adjusting the learning rate](08-deep-learning/06-learning-rate.md)
-* 8.7 [Checkpointing](08-deep-learning/07-checkpointing.md)
-* 8.8 [Adding more layers](08-deep-learning/08-more-layers.md)
-* 8.9 [Regularization and dropout](08-deep-learning/09-dropout.md)
-* 8.10 [Data augmentation](08-deep-learning/10-augmentation.md)
-* 8.11 [Training a larger model](08-deep-learning/11-large-model.md)
-* 8.12 [Using the model](08-deep-learning/12-using-model.md)
-* 8.13 [Summary](08-deep-learning/13-summary.md)
-* 8.14 [Explore more](08-deep-learning/14-explore-more.md)
-* 8.15 [Homework](08-deep-learning/homework.md)
-
-For the deep learning part, we need to use a GPU. ML Zoomcamp students can use [Saturn Cloud](https://bit.ly/saturn-mlzoomcamp) and get 100 GPU hours (Nov 2024) there.
-Message support and say "I'm enrolled in ML Zoomcamp" to get an upgrade.
+- 8.1 [Fashion classification](08-deep-learning/01-fashion-classification.md)
+- 8.1b [Setting up the Environment on Saturn Cloud](08-deep-learning/01b-saturn-cloud.md)
+- 8.2 [TensorFlow and Keras](08-deep-learning/02-tensorflow-keras.md)
+- 8.3 [Pre-trained convolutional neural networks](08-deep-learning/03-pretrained-models.md)
+- 8.4 [Convolutional neural networks](08-deep-learning/04-conv-neural-nets.md)
+- 8.5 [Transfer learning](08-deep-learning/05-transfer-learning.md)
+- 8.6 [Adjusting the learning rate](08-deep-learning/06-learning-rate.md)
+- 8.7 [Checkpointing](08-deep-learning/07-checkpointing.md)
+- 8.8 [Adding more layers](08-deep-learning/08-more-layers.md)
+- 8.9 [Regularization and dropout](08-deep-learning/09-dropout.md)
+- 8.10 [Data augmentation](08-deep-learning/10-augmentation.md)
+- 8.11 [Training a larger model](08-deep-learning/11-large-model.md)
+- 8.12 [Using the model](08-deep-learning/12-using-model.md)
+- 8.13 [Summary](08-deep-learning/13-summary.md)
+- 8.14 [Explore more](08-deep-learning/14-explore-more.md)
+- 8.15 [Homework](08-deep-learning/homework.md)
+
+For the deep learning part, we need to use a GPU. ML Zoomcamp students can use 
+[Saturn Cloud](https://bit.ly/saturn-mlzoomcamp) and get 100 GPU hours (Nov 2024) there.
+Message support and say "I'm enrolled in ML Zoomcamp" to get an upgrade. 
 
 ## 9. [Serverless Deep Learning](09-serverless/)