Changes between Version 6 and Version 7 of Other/Summer/2020/AdvML

Timestamp:

Jun 8, 2020, 2:31:32 PM (4 years ago)

Author:

yb220

Comment:

—

Other/Summer/2020/AdvML

@@ -8 +8 @@
 - Tensorflow - Adversarial Example using FGSM: https://www.tensorflow.org/tutorials/generative/adversarial_fgsm  
 - Generating Adversarial Samples in Keras: https://medium.com/analytics-vidhya/implementing-adversarial-attacks-and-defenses-in-keras-tensorflow-2-0-cab6120c5715
+- Python tutorial: https://www.w3schools.com/python/
+- How to run Python code: https://www.knowledgehut.com/blog/programming/run-python-scripts
+- Jupyter notebook tutorial: https://www.dataquest.io/blog/jupyter-notebook-tutorial/
+- Video tutorial (Optional): Neural Networks and Deep Learning: https://www.coursera.org/learn/neural-networks-deep-learning
 
 == Reading Material ==
@@ -21 +25 @@
 
 == Week 2 Activities ==
-- Get familiar with Python language.
-- Learn the concept of deep learning and deep neural networks.
-- Python tutorial: https://www.w3schools.com/python/
-- How to run Python code: https://www.knowledgehut.com/blog/programming/run-python-scripts
-- Jupyter notebook tutorial: https://www.dataquest.io/blog/jupyter-notebook-tutorial/
-- Video tutorial (Optional): Neural Networks and Deep Learning: https://www.coursera.org/learn/neural-networks-deep-learning
+- Get familiar with Python language.\\
+  -- Install Python environment\\
+  -- Use Jupyter Notebook to run Python code samples\\
+- Learn the concept of deep learning and deep neural networks.\\
+  -- Slides: Neural Network Basics of Energy-Efficient Machine Learning System\\
+  -- Video tutorial (Optional): Neural Networks and Deep Learning by Andrew Ng (Recommended chapters: Week 2: Logistic Regression as a Neural Network, Week 3: Shallow Neural Network)