Changes between Version 13 and Version 14 of Other/Summer/2020/AdvML

Timestamp:

Jun 15, 2020, 4:53:09 AM (4 years ago)

Author:

yb220

Comment:

—

Other/Summer/2020/AdvML

@@ -14 +14 @@
 - 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
+*Week 3
+- Introduction of Keras: https://en.wikipedia.org/wiki/Keras
+- Basic Classification: Classify Images of Clothing: https://www.tensorflow.org/tutorials/keras/classification
+- Simple Neural Networks in Python: https://towardsdatascience.com/inroduction-to-neural-networks-in-python-7e0b422e6c24
+- TensorFlow Neural Network Tutorial (optional): https://stackabuse.com/tensorflow-neural-network-tutorial/
 
 == Reading Material ==
@@ -33 +38 @@
   -- 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)
+
+== Week 3 Activities ==
+- Setup TensorFlow and Keras environment using Anaconda
+  -- Follow the tutorial “Basic classification: Classify Images of Clothing” to get familiar with TensorFlow and Keras
+  -- Read the tutorial “Simple Neural Networks in Python” (code implementation not required)
+  -- Read the “TensorFlow Neural Network Tutorial” and run the code implementation (optional)
+
+- Read the paper “X-Vectors: Robust DNN Embeddings for Speaker Recognition” (IEEE ICASSP 2018).
+  -- Try to understand the workflow of x-vector and learn background knowledge, such as the application of x-vector, concept of the phoneme, data augmentation, etc. (try to learn TDNN and MFCC if time allows)
+