History of NVIDIA - Digit

Last update 2018-04-03 21:29:41

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

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

  Save Keras HDFS file (.h5)

  DL models supported

  - CNN

  yes

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

  - LSTM

  - MLP / Auto-encoders

  - RNN

  - Cloud Trial period

  yes

  AutoML

  no

  - Desktop

  yes

  Graphical editor provided

  no Changing the model is possible by editing the network graph"

  - CNN

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

  Model checker

  no

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

  Use Keras API

  no

• 
  PALYGAP on 2018-03-30 05:31:33Report

  DL model training

  yes

  Inference available

  yes

  Graphical editor provided

  no

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

  Nome

  NVIDIA - Digit

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

  Web Site

  https://developer.nvidia.com/digits

• 
  PALYGAP on 2018-03-25 22:26:44Report

  Viewer

  unlisted

• 
  PALYGAP on 2018-03-25 22:25:54Report

  Viewer

  public

• 
  PALYGAP on 2018-03-25 22:24:04Report

  Viewer

  unlisted

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

  Mode

  70

  Nome

  NVIDIA DIGIT

  Viewer

  public

  Editor

  palygap-1q7klct2

  Version of the software

  6.0

  GPUs

  CUDA compatible

  DL MODEL EDITOR

  "No IHM.

  DL models supported

  yes

  - CNN

  yes

  - LSTM

  ???

  - MLP / Auto-encoders

  ???

  - RNN

  ???

  Pretained Networks

  yes

  Use Keras API

  No

  Save Keras HDFS file (.h5)

  ???

  Save Keras model .yaml file

  ???

  Save Keras model file

  ???

  Load Keras model .yaml file

  ???

  Load Keras HDFS file (.h5)

  ???

  Code generation

  ???

  - Theano

  ???

  - Tensorflow/Keras

  ???

  - Caffe (v1)

  ???

  Custom cost function

  ???

  Load Keras Models + Weights

  ???

  Load Caffe Models + Weights

  ???

  Load Keras Code

  ???

  Model checker

  No

  Datasets Management

  yes

  Experiments Mangement

  ???

  TRAINING

  yes

  INFERENCE

  yes

  DEPLOIEMENT

  no

  - Cloud Trial period

  Yes

  - Desktop

  Yes

  AutoML

  No

  Underlaying Framework

  Tensorflow

  Development Activity

  Important