Comments (3)
If you are simply interested in converting models and using the normal layers available in Keras then there should be no problem. You should be able to use either TF or TH.
The thing is that we can only assure that the additional multimodal layers that we have developed are working on TH. Not all of them are guaranteed to work on TF.
from keras.
The multimodal layers being the LSTMs etc? If my model only has the typical conv, maxpooling and dropout etc it should be fine ?
My goal is to convert the models, and then train them, or use them to make predictions
from keras.
Closing this, as we now fully support TF.
from keras.
Related Issues (20)
- Recurrent dropout is broken in (at least) AttGRUCond HOT 1
- Deconvolution layer not supported, while converting caffemodel weight into keras. HOT 3
- Test WeightNorm optimizers HOT 1
- Use non-standard version of caffe for model conversion. HOT 3
- Bug when run caffe2keras HOT 1
- Hi
- hi when i run test_segmentation.py i receive this error str(n) + ' integers. Received: ' + str(value)) ValueError: The `1st entry of padding` argument must be a tuple of 2 integers. Received: 100
- when i run test_segmentation.py i receive this essor str(n) + ' integers. Received: ' + str(value)) ValueError: The `1st entry of padding` argument must be a tuple of 2 integers. Received: 100
- Conversion of PoolingND Layer
- python3 support for caffe2keras HOT 1
- Error when converting with merge layer
- the accuracy decrease appearently after converting caffe to keras. HOT 1
- Error when converting with Scale layer HOT 1
- TypeError: __call__() takes 2 positional arguments but 4 were given HOT 4
- no module named 'keras_applications' HOT 1
- TypeError: expected bytes, str found HOT 4
- Negative dimension size for 'pool2/MaxPool' (op: 'MaxPool') with input shapes:[?,1,112,128].
- Hi, I'm just wondering why you coded like this.
- Caffe2keras.py: ValueError: need more than 3 values to unpack in convert.py
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 keras.