Comments (2)
The hacky but demonstrable yonderblue@f985129. Probably needs other stuff to be refactored to make sense in the repo though. For example I'm not sure as to the rationale for some params in the Train func vs in the New for batch trainer, or how it plays into the accuracy stuff.
Also note the stopper func gives you a chance to do other stuff while the train loop is running, such as calculating predicted false positive rates etc.
from go-deep.
Open to PR:s on that!
from go-deep.
Related Issues (14)
- Feature Request: Add Mish activation
- Nesterov flag HOT 3
- Question about sparse networks
- Save Neural struct in Disk HOT 2
- Example showing errors HOT 1
- Train history feature HOT 1
- How to save and load trained data? HOT 1
- ReLU is not correct. HOT 1
- can we add a user defined loss functions to our model? HOT 1
- [Help] Why output have 3 number?
- wine data test results are not very accurate HOT 6
- Question: what is different between deep.NewNeuron() and deep.NewNeural() HOT 1
- Using interfaces for activation and loss functions. HOT 3
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 go-deep.