|
|
第1行: |
第1行: |
| =Chaos Work= | | =Chaos Work= |
− | | + | ==SLT== |
− | ==Date Line==
| + | |
− | | + | |
− | ===Date 2015-10-09===
| + | |
− | | + | |
− | ====Plan to do====
| + | |
− | | + | |
− | :1. Write Matrix Factorization program.
| + | |
− | :2. Write DNN Max-Margin program with dropout.
| + | |
− | :3. Run some test model in GPU machines.
| + | |
− | <Written by 10-08>
| + | |
− | ====Done====
| + | |
− | :2. Write DNN Max-Margin program with dropout.
| + | |
− | :3. Run some test model in GPU machines.
| + | |
− | | + | |
− | | + | |
− | ===Date 2015-10-10===
| + | |
− | | + | |
− | ====Plan to do====
| + | |
− | | + | |
− | :1. Write Matrix Factorization program.
| + | |
− | :2. Start test different matrix factorization lost functions.
| + | |
− | :3. Write Binary Vector for theano mode.
| + | |
− | <Written by 10-09>
| + | |
− | ====Done====
| + | |
− | :1. Write Matrix Factorization program.
| + | |
− | :2. Start test different matrix factorization lost functions.
| + | |
− | <Written by 10-12>
| + | |
− | | + | |
− | ===Date 2015-10-12===
| + | |
− | | + | |
− | ====Plan to do====
| + | |
− | | + | |
− | :1. Test different matrix factorization lost functions.
| + | |
− | :2. Write Binary Vector for theano mode.
| + | |
− | :3. Thinking the method for merge different resource for one matrix factorization process.
| + | |
− | ====Done====
| + | |
− | :1. Test different matrix factorization lost functions.
| + | |
− | :2. Write Binary Vector for theano mode.
| + | |
− | :3. Thinking the method for merge different resource for one matrix factorization process.
| + | |
− | <Written by 10-13>
| + | |
− | | + | |
− | ===Date 2015-10-13===
| + | |
− | ====Plan to do====
| + | |
− | :1. Read Papers for matrix factorization.
| + | |
− | :2. Read Papers for binary vectors.
| + | |
− | ====Done====
| + | |
− | :1. Read Papers for matrix factorization.
| + | |
− | Paper list:
| + | |
− | Neural Word Embedding as Implicit Matrix Factorization. Omer Levy;
| + | |
− | :2. Read Papers for binary vectors.
| + | |
− | Paper list:
| + | |
− | Learning to Hash for Indexing Big Data - A Survey. Jun Wang;
| + | |
− | Learning Hash Codes with Listwise Supervision. Jun Wang;
| + | |
− | Kernelized Locality-Sensitive Hashing for Scalable Image Search. Brian Kulis;
| + | |
− | <Written by 10-14>
| + | |
− | | + | |
− | ===Date 2015-10-13===
| + | |
− | ====Plan to do====
| + | |
− | :1. Read Papers for matrix factorization.
| + | |
− | :2. Read Papers for binary vectors.
| + | |
− | ====Done====
| + | |