- 2020-10-16 ~ 2020-12-10
- slack 를 통해 서로 질문, 답변을 하며 스터디 방식으로 진행
- Deep Learning Specialization 수강료 지원
- mission1 : 2020-10-16 ~ 2020-10-22 : 1-1 ~ 1-2
- mission2 : 2020-10-23 ~ 2020-10-29 : 1-3 ~ 1-4
- mission3 : 2020-10-30 ~ 2020-11-05 : 2-1 ~ 2-1
- mission4 : 2020-11-06 ~ 2020-11-12 : 2-2 ~ 2-3
- mission5 : 2020-11-13 ~ 2020-11-19 : 3-1 ~ 4-1
- mission6 : 2020-11-20 ~ 2020-11-26 : 4-2 ~ 4-3
- mission7 : 2020-11-27 ~ 2020-12-03 : 4-3 ~ 5-1
- mission8 : 2020-12-04 ~ 2020-12-10 : 5-2 ~ 5-3
- 1st course: Neural Networks and Deep Learning
- Introduction to deep learning
- Neural Networks Basics
- Shallow neural networks
- Deep Neural Networks
- 2nd course: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Practical aspects of Deep Learning
- Optimization algorithms
- Hyperparameter tuning, Batch Normalization and Programming Frameworks
- 3rd course: Structuring Machine Learning Projects
- ML Strategy (1)
- ML Strategy (2)
- 4th course: Convolutional Neural Networks
- Foundations of Convolutional Neural Networks
- Deep convolutional models: case studies
- Object detection
- Special applications: Face recognition & Neural style transfer
- 5th course: Sequence Models
- Recurrent Neural Networks
- Natural Language Processing & Word Embeddings
- Sequence models & Attention mechanism