手把手的深度學習實務

下載程式、投影片

請下載此 github 檔案建議開啟終端機 git clone https://github.com/twcmchang/hands-on-DL.git 或直接下載 zip 檔。
2018-12-03 投影片連結 here。
2018 台灣資料科學年會系列活動演講投影片 slideshare。

Python 建議安裝 python3.5+ 的版本。請依照各自的環境，參照下方安裝說明，安裝好所需要的 packages。
安裝 TensorFlow 請參考 TensorFlow 官網 https://www.tensorflow.org/install/
安裝 Keras 請參考 Keras 官網, https://keras.io/#installation
下載 https://github.com/fchollet/keras/blob/master/examples/mnist_mlp.py 這份範例程式並執行測試。

python mnist_mlp.py

pip install numpy scipy matplotlib scikit-learn pandas jupyter
pip install tensorflow
pip install keras

由於作業系統環境因人而異，若有任何安裝上的問題，請不吝來信詢問: [email protected]，希望大家能在上課前完成安裝，謝謝。沒有的話也無妨，我會在課堂上操作並且幫忙解決問題。

Name		Name	Last commit message	Last commit date
Latest commit History 83 Commits
answer		answer
plot		plot
.gitattributes		.gitattributes
.gitignore		.gitignore
00_readingInput.py		00_readingInput.py
README.md		README.md
ex00_functional_API.ipynb		ex00_functional_API.ipynb
ex01_loss-function-selection.ipynb		ex01_loss-function-selection.ipynb
ex02_learning-rate-selection.ipynb		ex02_learning-rate-selection.ipynb
ex03_activation-function-selection.ipynb		ex03_activation-function-selection.ipynb
ex04_optimizer-selection.ipynb		ex04_optimizer-selection.ipynb
ex05_overfitting-check.ipynb		ex05_overfitting-check.ipynb
ex06_regularization.ipynb		ex06_regularization.ipynb
ex07_earlystop.ipynb		ex07_earlystop.ipynb
ex08_dropout.ipynb		ex08_dropout.ipynb
ex09_batchnormalization.ipynb		ex09_batchnormalization.ipynb
ex10_cnn_example.ipynb		ex10_cnn_example.ipynb
ex11_transfer_example.ipynb		ex11_transfer_example.ipynb
pkgo_city66_class5_v1.csv		pkgo_city66_class5_v1.csv
slides_190529.pdf		slides_190529.pdf