HKU_ELRN1902 - Tutorial / Examples on Keras

##Notes :

1. Please Download the notes via this link:

Full Version: https://connectpolyu-my.sharepoint.com/:p:/g/personal/20007633g_connect_polyu_hk/EZ7Mh3M7EmJDk57jIOa9q1ABpY_5xZtHsonn9AZuV67lWw?e=lvRHVF

Trimmed Version https://connectpolyu-my.sharepoint.com/:p:/g/personal/20007633g_connect_polyu_hk/ERlCTDYhLpBDkios6IBvm_sBnldgT1FeKR-DXotiwsGxRg?e=hkrzpt

2. Follow the last chapter to install python and keras

https://connectpolyu-my.sharepoint.com/:p:/g/personal/20007633g_connect_polyu_hk/EeFnUNxEyCZMl6s0zkzLorgBglneC-sFsi7sUALnsktMUg?e=3Njsxb

##Content :

1. Example 1 Multivariable Prediction.ipynb

2. Example 2 LogicGateXorGate.ipynb

3. Example 3 Polynomial Regression.ipynb

4. Example 4 fashion_keras1.ipynb

5. Example 5 minist digits tutorial.ipynb

6. Example 6 Image Classification.ipynb (The code is deprecated)

Environment

conda create -n "keras" python=3.7

conda activate keras

pip3 install tensorflow==2.5.0

pip3 install notebook

pip3 install matplotlib

pip3 install pandas

pip3 install opencv-python

pip3 install imutils

pip3 install sklearn

conda install -c anaconda ipykernel

python -m ipykernel install --user --name=keras