Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| 8 | 9 | 10 | 11 | 12 | 13 | 14 |
| 15 | 16 | 17 | 18 | 19 | 20 | 21 |
| 22 | 23 | 24 | 25 | 26 | 27 | 28 |
| 29 | 30 |
Tags
- coursera
- Scikitlearn
- neural network
- supervised ml
- bingai
- feature engineering
- feature scaling
- 챗지피티
- 언어모델
- Regression
- AI
- 머신러닝
- nlp
- ML
- Andrew Ng
- AI 트렌드
- Machine Learning
- 딥러닝
- prompt
- LLM
- ChatGPT
- llama
- 인공지능
- Unsupervised Learning
- Supervised Learning
- learning algorithms
- GPT
- Deep Learning
- 프롬프트 엔지니어링
- 인공신경망
Archives
- Today
- Total
목록인공신경망 (1)
My Progress
[Advanced Learning Algorithms] Neural Network - 1
1. Neurons and the brain Origins: Algorithms that try to mimic the brain Development RoadMap: speech -> images -> text(NLP) -> ... Since the development of Large Neural Network and GPU, we could perform many different task using the "Big Data". 2. Example - Demand Prediction We use sigmoid function to solve the classification problem. We called the function we use f(x). In the neural network, we..
AI/ML Specialization
2023. 8. 3. 15:56