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History of
IBM - Neural Network Modeler
Last update
Apr. 3
rd
2018 9:29:41 PM
Creation date
Mar. 25
th
2018 10:14:35 PM
PALYGAP
on Apr. 3
rd
2018 9:29:41 PM
Report
Version of the software
1.1
PALYGAP
on Apr. 3
rd
2018 9:26:56 PM
Report
AutoML
no
Browser
no
Python shell
no
- Desktop
no
PALYGAP
on Apr. 3
rd
2018 9:22:04 PM
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Custom cost function
no
Load Keras Models + Weights
no
Load Caffe Models + Weights
yes
Model checker
yes
Experiments Mangement
no
PALYGAP
on Apr. 3
rd
2018 9:20:52 PM
Report
- LSTM
yes
- MLP / Auto-encoders
yes
- RNN
yes
Use Keras API
no
Save Keras HDFS file (.h5)
no
Save Keras model .yaml file
no
Save Keras model file
no
Load Keras model .yaml file
no
Load Keras HDFS file (.h5)
no
Code generation
yes
- Theano
yes
- Tensorflow/Keras
yes
- Caffe (v1)
yes
PALYGAP
on Mar. 30
th
2018 5:31:33 AM
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DL model training
no
Inference available
no
Graphical editor provided
yes
PALYGAP
on Mar. 26
th
2018 9:07:46 PM
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Name
IBM - Neural Network Modeler
PALYGAP
on Mar. 26
th
2018 9:05:35 PM
Report
Name
IBM - Neural Network modeler
Version of the software
Version integrated in Watson Studio
PALYGAP
on Mar. 25
th
2018 10:39:43 PM
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Web Site
https://darviz.mybluemix.net/#/dashboard
PALYGAP
on Mar. 25
th
2018 10:14:36 PM
Report
Mode
70
Name
Deep Learning IDE
Viewer
public
Editor
palygap-1q7klct2
Version of the software
Current
Underlaying Framework
Theano Tensorflow/Keras Caffe (v1)
(2 enhanced versions have been release recently)"
Important
GPUs
Depends on the target Framework
DL MODEL EDITOR
Yes
- CNN
yes
- LSTM
Yes
- MLP / Auto-encoders
Yes
- RNN
Yes
Pretained Networks
no
Use Keras API
No
Save Keras HDFS file (.h5)
No
Save Keras model .yaml file
No
Save Keras model file
No
Load Keras model .yaml file
No
Load Keras HDFS file (.h5)
No
Code generation
Yes
- Theano
Yes
- Tensorflow/Keras
Yes
- Caffe (v1)
Yes
Custom cost function
No
Load Keras Models + Weights
No
Load Caffe Models + Weights
Yes
Model checker
Yes
Datasets Management
no
Experiments Mangement
No
- Exp comparison
N/A
- Prev. Exp loader
N/A
TRAINING
no
Tune learning parameter
N/A
Live performance monitoring
N/A
Results browser
N/A
INFERENCE
no
View Valid/test set inference
N/A
Confusion matrix
N/A
Visualize intermediate layer activation
N/A
User test int
N/A
DEPLOIEMENT
no
- Cloud
"Yes
- Cloud Trial period
N/A (no usage limitation)
- Desktop
No
AutoML
No
Browser
No
Environment management
no
Python shell
No
Jupyter notebook
no
Tutorials
yes
Development Activity
Unkown
Go back to:
IBM - Neural Network Modeler