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 | 31 |
Tags
- utilize
- productivity
- color and data
- distributed training
- level of negative
- NLP
- bias vs variance
- level of positive
- sweet spot in fitting
- ML
- online machine learning
- level of emotion
- API
- plotting
- NO TYPO
- pandas
- Insight
- root of the word
- machine learning
- variance bias
- Pararel Computing
- color theory
- tensorflow
- Apache Beam
- negotiate
- Learn from mistake
- Naive Bayes example
- Data Distribution
- plot color
- Deep Learning
Archives
- Today
- Total
목록tensorflow (2)
How much am I expressed through the data
Neural Network - CNN, train by loading my images
https://www.youtube.com/watch?v=uqomO_BZ44g&ab_channel=WhenMathsMeetCoding
Data Science/TODOs
2021. 7. 22. 06:51
Residual Neural Network (ResNet)
https://en.wikipedia.org/wiki/Residual_neural_network Residual neural network - Wikipedia Canonical form of a residual neural network. A layer ℓ − 1 is skipped over activation from ℓ − 2. A residual neural network (ResNet) is an artificial neural network (ANN) of a kind that builds on constructs known from pyramidal cells in the c en.wikipedia.org Training Residual Neural Network with your own d..
Data Science/TODOs
2021. 7. 22. 06:49