Comments (2)
See issue #6, if the loss is exactly 0.5
it means the embeddings have collapse into one point.
The first thing to try is to decrease the learning rate, it worked for other people before.
An additional note: the loss will not decrease during training because it's the average over the positive triplets. So the loss will just oscillate during training. However the fraction of positive triplets should decrease.
from tensorflow-triplet-loss.
thanks for your advice.
from tensorflow-triplet-loss.
Related Issues (20)
- What does 'embedding_mean_norm' mean? HOT 2
- loss=0 in step=101(after two step) HOT 1
- Saving weights of model and calculation of embeddings HOT 1
- Using batch_all_triplet_loss function HOT 2
- Embeddings Collapse very fast
- fraction_positive increasing HOT 4
- the function of _get_triplet_mask in triplet_loss.py
- base_model
- Multi domain triplet loss
- Why average loss value by `batch_size` when using `batch_hard` method?
- PyTorch Implmentation of triplet loss
- the difference between tf.contrib.losses.metric_learning.triplet_semihard_loss and batch_all_triplet_loss
- Implementation of metrics to monitor training process in tf.keras environment
- Advice on which loss to optimize HOT 2
- Performance issues in the program
- Performance issue in /model/tests (by P3) HOT 1
- Got Nan value when label's id is greater than 159 HOT 1
- hard triplet convergence!
- Some corrections in MNIST_dataset since TF 2.0
- OSS License compatibility question
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tensorflow-triplet-loss.