Deep Learning Seminar

Deep Learning Seminar lecture slides in pdf and example codes for SIGMA INTELLIGENCE

Any questions or requests are welcome

(IMPORTANT) THIS PROJECT IS FOR INTERNAL USE ONLY

Descriptions

Deep Learning Seminar from A to Z. This project is for the beginners who are new to Python and deep learning.

This project covers the following areas:

• Introduction to Python
• Basic Classification
• Regression
• CNN
• YOLO
• RNN
• GAN
• Simple Example of Reinforcement Learning

Prerequisites

What things you need to install the software and how to install them. If it is possible to use the latest version of them, use the latest version. It is highly recommended to Use Google Colab

[name]                  [version]   
python                   3.5.2
pip                      9.0.1  
scikit-learn             0.13.3
tensorflow               1.3.0
tensorflow-tensorboard   0.1.8
pytorch                  0.4.1
torchvision              0.2.1
matplotlib               2.1.0
numpy                    1.13.3
jedi                     0.11.0
gym                      0.10.9

Built With

• atom - Editor
• virtualenv - Python Package versioning
• Google Colab - Google Colab

Author

• Sun Park (github) - WhenTheyCry96
• Sun Park (e-mail) - [email protected]

References

• Introduction to Python jump to python python tutorial tutorials point
• Basic Classification / Regression / CNN / RNN / GAN SVM scikit-learn Stanford cs231n 모두를 위한 딥러닝 모두를 위한 딥러닝-RL
• YOLO YOLO github

License

This project is licensed under the MIT License - see the LICENSE.md file for details