Comments (2)
The documentation on the page for running showed 10k steps on gender. This is not necessarily the recommended number of steps, and the learning rate was not specified in the example so it defaulted to the program defaults.
Since I wrote the original docs, I increased the learning rate default, and added a learning rate decay schedule, and set the number of default steps higher (these params worked well for age). I have updated the docs to explicitly lower it back like this --eta 0.001
for gender training (as it was before) and you should see the loss decreasing.
And you can try running with the defaults by removing the --max_steps
or increasing it. The learning rate will then follow a staircase decay schedule.
The program allows you to control all of the hyperparameters.
from rude-carnie.
I have updated the docs to hopefully minimize confusion in the future
from rude-carnie.
Related Issues (20)
- where is the folder /AgeGenderDeepLearning/Folds/tf/age_test_fold_is_1/run-20854 ? HOT 1
- how to use the guess.py with pre-trained model ? HOT 4
- how to change the script if I use MTCNN to detect the face ? HOT 4
- no gender in output HOT 1
- Using the gender detection model on tf 2.0 HOT 2
- Issue Training Gender HOT 2
- Where is the pruning process for the Tensorflow code?
- Running in Realtime
- Adding a licence
- name 'ImageCoder' is not defined HOT 2
- Cannot work on GPU and ask for Requirements
- Gender Classification Confusion Matrix
- batch size issue when freeze the graph
- python train.py HOT 2
- eval.py display accuracy
- test datasets HOT 1
- Custom Face Detector HOT 3
- Gender detection does not work correctly HOT 1
- Output node name to create a frozen graph
- who has the dataset ? HOT 1
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 rude-carnie.