Historique de Deep Learning Editor

Mis à jour 4 avr. 2018 10:22:42

Date de création 25 mar. 2018 22:05:03

• 
  PALYGAP le 4 avr. 2018 10:22:42Signaler

  Liste des critères (61)

  Nom, Version of the software, Underlaying Framework, Development Activity, GPUs, DL MODEL EDITOR, Graphical editor provided, DL models supported, - CNN, - LSTM, - MLP / Auto-encoders, - RNN, Pretained Networks, Use Keras API, 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, Datasets Management, Experiments Mangement, - Exp comparison, - Prev. Exp loader, TRAINING, DL model training, Tune learning parameter, Live performance monitoring, INFERENCE, Inference available, Results browser, View Valid/test set inference, Confusion matrix, Visualize intermediate layer activation, User test int, DEPLOIEMENT, - Rest API, PLATFORM, - Cloud, but no computing environnement", - Cloud Trial period, - Desktop, OTHER, AutoML, Browser, Environment management, Python shell, Jupyter notebook, Documentation, (Keras API)", (SONY Neural Network Library)", Tutorials, Web Site

• 
  PALYGAP le 3 avr. 2018 21:26:56Signaler

  Liste des critères (62)

  Nom, Version of the software, Underlaying Framework, Development Activity, (2 enhanced versions have been release recently)", GPUs, DL MODEL EDITOR, Graphical editor provided, DL models supported, - CNN, - LSTM, - MLP / Auto-encoders, - RNN, Pretained Networks, Use Keras API, 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, Datasets Management, Experiments Mangement, - Exp comparison, - Prev. Exp loader, TRAINING, DL model training, Tune learning parameter, Live performance monitoring, INFERENCE, Inference available, Results browser, View Valid/test set inference, Confusion matrix, Visualize intermediate layer activation, User test int, DEPLOIEMENT, - Rest API, PLATFORM, - Cloud, but no computing environnement", - Cloud Trial period, - Desktop, OTHER, AutoML, Browser, Environment management, Python shell, Jupyter notebook, Documentation, (Keras API)", (SONY Neural Network Library)", Tutorials, Web Site

• 
  PALYGAP le 30 mar. 2018 05:31:33Signaler

  Liste des critères (63)

  Nom, Version of the software, Underlaying Framework, Development Activity, (2 enhanced versions have been release recently)", GPUs, DL MODEL EDITOR, Graphical editor provided, Changing the model is possible by editing the network graph", DL models supported, - CNN, - LSTM, - MLP / Auto-encoders, - RNN, Pretained Networks, Use Keras API, 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, Datasets Management, Experiments Mangement, - Exp comparison, - Prev. Exp loader, TRAINING, DL model training, Tune learning parameter, Live performance monitoring, Results browser, INFERENCE, Inference available, View Valid/test set inference, Confusion matrix, Visualize intermediate layer activation, User test int, DEPLOIEMENT, - Rest API, PLATFORM, - Cloud, but no computing environnement", - Cloud Trial period, - Desktop, OTHER, AutoML, Browser, Environment management, Python shell, Jupyter notebook, Documentation, (Keras API)", (SONY Neural Network Library)", Tutorials, Web Site

• 
  PALYGAP le 26 mar. 2018 21:07:46Signaler

  Description

  Compare Deep Learning Studio vs. Neural Network Console vs. Neural Network Modeler vs. NVIDIA Digit

• 
  PALYGAP le 25 mar. 2018 22:37:30Signaler

  Liste des critères (60)

  Nom, Version of the software, Underlaying Framework, Development Activity, (2 enhanced versions have been release recently)", GPUs, DL MODEL EDITOR, Changing the model is possible by editing the network graph", DL models supported, - CNN, - LSTM, - MLP / Auto-encoders, - RNN, Pretained Networks, Use Keras API, 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, Datasets Management, Experiments Mangement, - Exp comparison, - Prev. Exp loader, TRAINING, Tune learning parameter, Live performance monitoring, Results browser, INFERENCE, View Valid/test set inference, Confusion matrix, Visualize intermediate layer activation, User test int, DEPLOIEMENT, - Rest API, PLATFORM, - Cloud, but no computing environnement", - Cloud Trial period, - Desktop, OTHER, AutoML, Browser, Environment management, Python shell, Jupyter notebook, Documentation, (Keras API)", (SONY Neural Network Library)", Tutorials, Web Site

• 
  PALYGAP le 25 mar. 2018 22:25:54Signaler

  Extrait

  Compare Deep Learning Studio contre Neural Network Console contre Deep Learning IDE contre NVIDIA DIGIT contre Comment

  Visibilité

  public

• 
  PALYGAP le 25 mar. 2018 22:24:05Signaler

  Liste des critères (59)

  Nom, Version of the software, Underlaying Framework, Development Activity, (2 enhanced versions have been release recently)", GPUs, DL MODEL EDITOR, Changing the model is possible by editing the network graph", DL models supported, - CNN, - LSTM, - MLP / Auto-encoders, - RNN, Pretained Networks, Use Keras API, 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, Datasets Management, Experiments Mangement, - Exp comparison, - Prev. Exp loader, TRAINING, Tune learning parameter, Live performance monitoring, Results browser, INFERENCE, View Valid/test set inference, Confusion matrix, Visualize intermediate layer activation, User test int, DEPLOIEMENT, - Rest API, PLATFORM, - Cloud, but no computing environnement", - Cloud Trial period, - Desktop, OTHER, AutoML, Browser, Environment management, Python shell, Jupyter notebook, Documentation, (Keras API)", (SONY Neural Network Library)", Tutorials

• 
  PALYGAP le 25 mar. 2018 22:14:36Signaler

  Liste des éléments (5)

  DEEP COGNITION - Deep Learning Studio, SONY - Neural Network Console, IBM - Neural Network Modeler, NVIDIA - Digit, Comment

  Liste des critères (60)

  Nom, Version of the software, Underlaying Framework, Development Activity, (2 enhanced versions have been release recently)", GPUs, DL MODEL EDITOR, Changing the model is possible by editing the network graph", DL models supported, - CNN, - LSTM, - MLP / Auto-encoders, - RNN, Pretained Networks, Use Keras API, 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, Datasets Management, Experiments Mangement, - Exp comparison, - Prev. Exp loader, TRAINING, Tune learning parameter, Live performance monitoring, Results browser, INFERENCE, View Valid/test set inference, Confusion matrix, Visualize intermediate layer activation, User test int, DEPLOIEMENT, - Rest API, - on DC server, PLATFORM, - Cloud, but no computing environnement", - Cloud Trial period, - Desktop, OTHER, AutoML, Browser, Environment management, Python shell, Jupyter notebook, Documentation, (Keras API)", (SONY Neural Network Library)", Tutorials