Difference between revisions of "Yang Zhang (Work Log)"

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09/19/2017 accounts setup and get familiar with the rules
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===Fall 2017===
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09/21/2017 start to build two different kinds of deep neural networks (Convolutional and LSTM) to classify the companies' industry, specifically for the file "Descriptions.txt"
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[[Yang Zhang]] [[Work Logs]] [[Yang Zhang (Work Log)|(log page)]]
  
09/22/2017 the two models both can achieve 90+% training accuracy and ~60% testing accuracy. Notice that the task is hard even for humans and thus 60% is acceptable, plus the baseline is under 10% for random guessing
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2017-09-28: the LSTM model achieves 67% testing accuracy
  
09/26/2017 modify the previous model and train on the "longdescriptionindu.txt"
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2017-09-26: modify the previous model and train on the "longdescriptionindu.txt"
  
09/28/2017 the LSTM model achieves 67% testing accuracy
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2017-09-22: the two models both can achieve 90+% training accuracy and ~60% testing accuracy. Notice that the task is hard even for humans and thus 60% is acceptable, plus the baseline is under 10% for random guessing
  
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2017-09-21: start to build two different kinds of deep neural networks (Convolutional and LSTM) to classify the companies' industry, specifically for the file "Descriptions.txt"
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2017-09-19: accounts setup and get familiar with the rules
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[[Category:Work Log]]
 
[[Category:Work Log]]

Latest revision as of 11:03, 9 November 2017

Fall 2017

Yang Zhang Work Logs (log page)

2017-09-28: the LSTM model achieves 67% testing accuracy

2017-09-26: modify the previous model and train on the "longdescriptionindu.txt"

2017-09-22: the two models both can achieve 90+% training accuracy and ~60% testing accuracy. Notice that the task is hard even for humans and thus 60% is acceptable, plus the baseline is under 10% for random guessing

2017-09-21: start to build two different kinds of deep neural networks (Convolutional and LSTM) to classify the companies' industry, specifically for the file "Descriptions.txt"

2017-09-19: accounts setup and get familiar with the rules