-
https://towardsdatascience.com/deep-metric-learning-76fa0a5a415f
Similar to k-nearest neighbor:
1. Train an encoder to encode raw data into a feature space.
2. Data points belonging to the same/d…
-
Although other learning algorithms implemented in H2O already offer MCC metric, such as GLM, the MCC metric is not currently available for the deep learning algorithm in H2O. For highly unbalanced, e…
-
### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Predicting IPO Performance Using Deep Learning
:red_circle: **Aim** :This project aims to predict the p…
-
1. [Intro/survey on Deep Metric Learning](https://www.mdpi.com/2073-8994/11/9/1066/htm) ([blogpost](https://hav4ik.github.io/articles/deep-metric-learning-survey))
2. [Improved Deep Metric Learning w…
-
### Description
Incorporate machine learning models to enhance the classification of movements and prediction of performance. This will enable more sophisticated analysis and provide deeper insights …
-
https://arxiv.org/abs/1412.6622
-
Aim : To develop a deep learning model to detect drowsiness from EEG signals using various algorithms and compare their performance to identify the best-fitted algorithm based on accuracy scores.
…
-
### Feature Description
Hi,
In TensorFlow Addons there are many [Deep Metrics Learning (DML) losses](https://www.tensorflow.org/addons/api_docs/python/tfa/losses) been implemented (such as tripl…
-
### Feature request
I would like to propose the addition of a new learning rate scheduler that combines MultiStepLR with a warmup phase. Currently, the Transformers library does not include a sched…
-
https://arxiv.org/abs/1908.10192