過去記事まとめ

過去に書いた記事のまとめをします。
次に書きたいことはここにまとめてます。
https://qiita.com/Rowing0914/items/c00364f9fe3a6f91495f

## Tensorflow周り
[Using Tensorflow API in C++](https://qiita.com/Rowing0914/items/d65e901fee9f4e2adffe)
[What is Bazel and it's error tips](https://qiita.com/Rowing0914/items/8e60588fa698693d20a3)
[[Tensorflow]環境構築日記 Ubuntu 16.0.4 LTS on Azure](https://qiita.com/Rowing0914/items/43e82065c2c6cc630d46)
[google colab](https://qiita.com/Rowing0914/items/51a770925653c7c528f9)

## ML Techniques
[Noise Contrastive Estimation: a new estimation principle for unnormalised statistical models](https://qiita.com/Rowing0914/items/d8af4e47616be5374142)
[Beam Search](https://qiita.com/Rowing0914/items/1efcd09288114809da8c)
[Understanding the difficulty of training deep feedforward neural networks](https://qiita.com/Rowing0914/items/372e403bf1eda65f8c15)
[Decision Tree](https://qiita.com/Rowing0914/items/b530925d54c4bd323d07)
[Naive Bayes Classifier](https://qiita.com/Rowing0914/items/65e991d94f0b140ef033)

## Programming Languages
### C++
[what is the difference between .cc and .cpp](https://qiita.com/Rowing0914/items/26c9a14ae9b6fb0abc87)
[C++ Tutorial ~Object Oriented~](https://qiita.com/Rowing0914/items/05df2d6f82864e65ef2c)
[C++ Tutorial ~Basics~](https://qiita.com/Rowing0914/items/aee5e023d35027682f02)
[C++ Library](https://qiita.com/Rowing0914/items/9b4c7d8307a86f36449c#vector)

###Python
[[Note] Road to Pythonista](https://qiita.com/Rowing0914/items/ae4eeb5b43180143fb27)
[[Memo] Python でPPTを作ろう](https://qiita.com/Rowing0914/items/6521fa9913ff8f35684e)

## NLP
### Machine Translation
[Neural Machine Translation (seq2seq) Tutorial](https://qiita.com/Rowing0914/items/777c7f9dedbf74fd233a)

### Sequence to Sequence
[Sequence to Sequence Learning with Neural Networks](https://qiita.com/Rowing0914/items/73d6882cf2ba35c78443)

### Wide&Deep Learning
[Wide&Deep Learning for Recommender System](https://qiita.com/Rowing0914/items/5df9666772d292fc2ab1)
[Wide&Deep Leraning](https://qiita.com/Rowing0914/items/65775f1a8b21c0a0de2f)

### FastText
[Fasttext&word2vec 論文関連](https://qiita.com/Rowing0914/items/4e64033d17cf18de7a1e)

### Dialogue System
[Multi-Domain Joint Semantic Frame Parsing using Bi-directional RNN-LSTM](https://qiita.com/Rowing0914/items/4e687acc6c08fd6a9855)
[Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access](https://qiita.com/Rowing0914/items/225159109c6136a78fa9)
[Deep Reinforcement Learning for goal-oriented dialogues](https://qiita.com/Rowing0914/items/70ec3672edb4e4fe41e1)
[A User Simulator for Task-Completion Dialogues](https://qiita.com/Rowing0914/items/265ee7c235c0fc8298cd)

## Deep Learning
### Foundation of DL
[ニューラルネットワークと深層学習 CH.3 ~ニューラルネットワークの学習の改善~](https://qiita.com/Rowing0914/items/3ec48b9ce0d4333163cc)
[ニューラルネットワークと深層学習 CH.2 ~逆伝播の仕組み~](https://qiita.com/Rowing0914/items/fb55082a4fd636a816a1)
[ニューラルネットワークと深層学習 CH.1](https://qiita.com/Rowing0914/items/5df3b7c08fc70d3047ff)
[[Oxford DL/ML MOOC] Review](https://qiita.com/Rowing0914/items/065a95f60377f05c4067)

### DL labs
[Now of DeepLearning Research LABs](https://qiita.com/Rowing0914/items/227e9b3c96958aa2f3c8)

### RNN
[Bidirectional LSTM-CRF Models for Sequence Tagging](https://qiita.com/Rowing0914/items/ab1382cab3550cddd957)
[Making a Predictive Keyboard using Recurrent Neural Networks - TensorFlow for Hackers (Part V)](https://qiita.com/Rowing0914/items/1f670ef3ab676c9d6d38)
[A Critical Review of Recurrent Neural Networks for Sequence Learning](https://qiita.com/Rowing0914/items/6803fbc0af9163788a0c)
[Study Guide of RNN](https://qiita.com/Rowing0914/items/c470f905321307ba74a7)

### LSTM
[[Review] Long Short Term Memory in 1997](https://qiita.com/Rowing0914/items/1edf16ead2190308ce90)
[[Review] Long Short Term Memory in 1999](https://qiita.com/Rowing0914/items/cefa095c761e11dcc3ad)
[[Notes] LSTM and Peephole ~2000~](https://qiita.com/Rowing0914/items/1640f6c5ccc78f699745)

### CNN
[CNN Summary](https://qiita.com/Rowing0914/items/b8fa86b31242309683c5)

- Research papers
    - https://qiita.com/Rowing0914/items/445095163bc6a58c59b5
    - https://qiita.com/Rowing0914/items/4627b4a15b22ae53760b
[implementation in Python](https://qiita.com/Rowing0914/items/2060af90b97c6739883e)
[math of CNN](https://qiita.com/Rowing0914/items/e815ca24427874030526)
[what is convolution??](https://qiita.com/Rowing0914/items/bef94b187772ff585413)

## Reinforcement Learning
### UCL Online Course
- [UCL_RL Lecture01 intro](https://qiita.com/Rowing0914/items/4990c1ffce4d3b97849b)
- [UCL_RL Lecture02 MDP](https://qiita.com/Rowing0914/items/1286fef888a7d4870eb4)
- [ UCL_RL Lecture03 Planning by Dynamic Programming](https://qiita.com/Rowing0914/items/37d920a6b566e7b687e7)
- [UCL_RL Lecture04 Model Free Prediction](https://qiita.com/Rowing0914/items/ea222a1893ccc02c340b)
- [UCL_RL Lecture05 Model Free Control](https://qiita.com/Rowing0914/items/dbc5af85faa21714fc49)
- [UCL_RL Lecture06 Value Function Approximation](https://qiita.com/Rowing0914/items/443e1e8d108d285796c5)
- [UCL_RL Lecture07 Policy Gradient](https://qiita.com/Rowing0914/items/90a1b5f8c3e2b5a05a5f)
- [UCL_RL Lecture08 Integrating Learning and Planning](https://qiita.com/Rowing0914/items/e69563e2ea4d8a6b20f6)

### RL Conferences
https://qiita.com/Rowing0914/items/30cca2fdad114387bbf8

### MARL
- [Research papers](https://qiita.com/Rowing0914/items/a85611ba5dfccd9eee4f)
- [Handouts of MARL](https://qiita.com/Rowing0914/items/24a40b03a7fbb09f254d)
- [MARL Topics](https://qiita.com/Rowing0914/items/1889663a6edd806032f9)

## 電子回路理論
[電子回路設計の基礎 ~1章: アナログ回路について~](https://qiita.com/Rowing0914/items/adbc89bdfb27596e065d)
[電子回路設計の基礎 ~2章: 電気回路 入門~](https://qiita.com/Rowing0914/items/36186298701d94d91db4)

## others
[Build, Compile and Make](https://qiita.com/Rowing0914/items/588d3466f36f32bab0df)
[力学](https://qiita.com/Rowing0914/items/0e3dee0338277ab7f7da)
[量子力学とは](https://qiita.com/Rowing0914/items/2543451486e4b66d1ce7)
[Knowledge Graph](https://qiita.com/Rowing0914/items/42862bef19ac9aa914da)
[Guidance of Individual Project](Guidance for Individual Project)
[Kong and Basic Knowledge on Web-Service](https://qiita.com/Rowing0914/items/35735d8439cbcaef05d1)
[Promising Company in AI industry](https://qiita.com/Rowing0914/items/c4b5affc7eb2ec7398b3)
[自然言語処理とは：自分まとめ](https://qiita.com/Rowing0914/items/023c1aaaa385b029eb12)
[[Summary] ビルドとコンパイルとメイク](https://qiita.com/Rowing0914/items/588d3466f36f32bab0df)
[Awesome VimTutor!!](https://qiita.com/Rowing0914/items/3cad4ba5771f15efe128)
[How-to: Literature Review](https://qiita.com/Rowing0914/items/b61704fe2541df3b9900)
[国内人工知能研究室のまとめ](https://qiita.com/Rowing0914/items/e1f161e7178e6debc32f)

## Basic Techniques
[Awesome vimtutor!!](https://qiita.com/Rowing0914/items/3cad4ba5771f15efe128)

## Nice Problem Solvers
[How to set "environmental PATH" on mac](https://qiita.com/nbkn/items/01a11392921119fa0153)