https://github.com/devbruce/tensorflow-practice
Practice Lab Part Of <모두를 위한 딥러닝 강좌 시즌 1>
https://github.com/devbruce/tensorflow-practice
deep-learning lecture-notes machine-learning
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Practice Lab Part Of <모두를 위한 딥러닝 강좌 시즌 1>
- Host: GitHub
- URL: https://github.com/devbruce/tensorflow-practice
- Owner: devbruce
- Created: 2019-03-12T08:49:05.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-04-02T10:16:13.000Z (almost 7 years ago)
- Last Synced: 2025-03-06T05:37:48.982Z (11 months ago)
- Topics: deep-learning, lecture-notes, machine-learning
- Language: Jupyter Notebook
- Size: 11 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# TensorFlow Practice
## 모두를 위한 머신러닝/딥러닝 강의 ([Link](http://hunkim.github.io/ml/))
| | 시즌 1 - 딥러닝의 기본 (모두를 위한 딥러닝 강좌 시즌 1) |
|:---------:|:--------------------------------------------------------------------------------:|
| YouTube | [Link](https://www.youtube.com/playlist?list=PLlMkM4tgfjnLSOjrEJN31gZATbcj_MpUm) |
| Code Repo | [Link](https://github.com/hunkim/DeepLearningZeroToAll) |
**시즌 1 - 딥러닝의 기본 (모두를 위한 딥러닝 강좌 시즌 1)** 의
실습 파트(Lab Part)를 직접 타이핑해보며 연습, 메모(기록) 등을 위한 Repository
| Lecture | Theme | Practice File Link (Jupyter) |
|------------|:--------------------------------:|:---------------------------------------------------------------------------------------------------:|
| ML Lab01 | TensorFlow Basics | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab01.ipynb) |
| ML Lab02 | Linear Regression | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab02.ipynb) |
| ML Lab03 | Minimizing Cost | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab03.ipynb) |
| ML Lab04-1 | Multi-variable linear regression | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab04-1.ipynb) |
| ML Lab04-2 | Loading Data from File | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab04-2.ipynb) |
| ML Lab05 | Logistic (regression) classifier | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab05.ipynb) |
| ML Lab06-1 | Softmax Classifier | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab06-1.ipynb) |
| ML Lab06-2 | Fancy Softmax Classifier | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab06-2.ipynb) |
| ML Lab07-1 | Learning rate, Evaluation | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab07-1.ipynb) |
| ML Lab07-2 | MNIST Data | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab07-2.ipynb) |
| ML Lab08 | Tensor Manipulation | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab08.ipynb) |
| ML Lab09-1 | NN for XOR | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab09-1.ipynb) |
| ML Lab09-2 | Tensorboard for XOR NN | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab09-2.ipynb) |
| ML Lab10 | NN,ReLu,Xavier,Droput,and Adam | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab10.ipynb) |
| ML Lab11-1 | CNN Basics | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab11-1.ipynb) |
| ML Lab11-2 | CNN MNIST: 99%! | [Link](https://github.com/DevBruce/TensorFlow-Practice/blob/master/practice_files/ml_lab11-2.ipynb) |