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--- trans_learn:2021projects [2021/10/21 03:58] – [Meeting Notes] wuyr
+++ trans_learn:2021projects [2022/01/05 21:59] (current) – yang
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 ====== 2021 Project Page ======
+===== Transfer learning for battery parameter estimation =====
 ==== Meeting Notes ====
@@ Line 45: / Line 45: @@
         * Yanru:
           * experiment: H-score trial on task transfer using ADE20K  -- especially good results for 'sky' task
-        *
+        * Hanbing:
+          * experiment: ADDA using battery pulse data
+          * slides:{{ :trans_learn:adda_test.pptx |}}
   * TODO:
         * Yanru:
@@ Line 52: / Line 54: @@
           * change of target data size
           * reading
-        *
+        * Hanbing:
+          * change convolution layer to fully connect or conv1D
+          * transform battery data into frequency domain
+== 2021/11/10 ==
+  * Attendee: Hanbing, Yang
+  * Meeting summary:
+    * Hanbing:
+      * experiment: unsupervised fully connection ADDA using battery pulse data
+  * TODO:
+    * Hanbing:
+      * experiment:
+        - source only: divide source dataset into training set and testing set to see if model is overfitting
+        - target only: using only target data to get target baseline model
+        - transfer learning: finetuning target feature extractor and source classifier useing a few target label
+== 2021/11/14 ==
+  * Attendee: Yanru, Yang
+  * Meeting summary:
+    - A brief review of several papers related to spatial-temporal data analyses ({{ :trans_learn:project_reading.pdf |}})
+    - Notes: {{:trans_learn:notes1114.png?linkonly|}}
+  * TODO: write background part of project plan
+== 2021/11/17 ==
+  * Attendee: Hanbing, Yang
+  * Meeting summary:
+    * Hanbing:
+      * experiment:
+        - source only and target only on original net and simplified net
+        - add penalty term on target model
+  * TODO:
+    * Hanbing:
+      * experiment:
+        - finetunning target model useing a few target label
+        - change visual form of result