History of IBM - Neural Network Modeler

Last update 2018-04-03 21:29:41

Creation date 2018-03-25 22:14:35

• 
  PALYGAP on 2018-04-03 21:29:41Report

  Version of the software

  1.1

• 
  PALYGAP on 2018-04-03 21:26:56Report

  AutoML

  no

  Browser

  no

  Python shell

  no

  - Desktop

  no

• 
  PALYGAP on 2018-04-03 21:22:04Report

  Custom cost function

  no

  Load Keras Models + Weights

  no

  Load Caffe Models + Weights

  yes

  Model checker

  yes

  Experiments Mangement

  no

• 
  PALYGAP on 2018-04-03 21:20:52Report

  - 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 2018-03-30 05:31:33Report

  DL model training

  no

  Inference available

  no

  Graphical editor provided

  yes

• 
  PALYGAP on 2018-03-26 21:07:46Report

  Name

  IBM - Neural Network Modeler

• 
  PALYGAP on 2018-03-26 21:05:35Report

  Name

  IBM - Neural Network modeler

  Version of the software

  Version integrated in Watson Studio

• 
  PALYGAP on 2018-03-25 22:39:43Report

  Web Site

  https://darviz.mybluemix.net/#/dashboard

• 
  PALYGAP on 2018-03-25 22:14:36Report

  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