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
- root of the word
- tensorflow
- Data Distribution
- Learn from mistake
- level of negative
- NO TYPO
- sweet spot in fitting
- variance bias
- Insight
- pandas
- level of positive
- level of emotion
- bias vs variance
- API
- productivity
- plot color
- Pararel Computing
- utilize
- NLP
- negotiate
- Apache Beam
- Naive Bayes example
- plotting
- color and data
- Deep Learning
- online machine learning
- color theory
- distributed training
- ML
- machine learning
Archives
- Today
- Total
How much am I expressed through the data
Residual Neural Network (ResNet) 본문
https://en.wikipedia.org/wiki/Residual_neural_network
Training Residual Neural Network with your own dataset
https://www.youtube.com/watch?v=1Gbcp66yYX4&ab_channel=WhenMathsMeetCoding
'Data Science > TODOs' 카테고리의 다른 글
NLP idea (0) | 2021.12.23 |
---|---|
What is Online Machine Learning? (0) | 2021.10.13 |
How to train your deep learning models in a distributed fashion (0) | 2021.10.13 |
Neural Network - CNN, train by loading my images (0) | 2021.07.22 |