Projects <BR>
==========<BR>
<BR>
Major steps in planning models (with neural netwroks):<BR>
<BR>
1. Provide a general background related to your work<BR>
2. Introduce your approach and compare it with other works and approaches<BR>
3. Define the task<BR>
4. Describe your design, learning set, architecture and representation<BR>
5. Provide implementation details (scripts, network, corpus, I/O parsers)<BR>
6. Run experiments (learning parameters, architecture and representation)<BR>
7. Produce and visualize results<BR>
8. Analyze the results<BR>
9. Evaluate the performance of your model(compare, judge, use statistics)<BR>
10.Summariez, conclude, future work<BR>