History of Deep Learning Editor

Last update 2018-04-04 10:22:42

Creation date 2018-03-25 22:05:03

• 
  PALYGAP on 2018-04-04 10:22:42Report

  List of criteria (61)

  Nome, 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 on 2018-04-03 21:26:56Report

  List of criteria (62)

  Nome, 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 on 2018-03-30 05:31:33Report

  List of criteria (63)

  Nome, 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 on 2018-03-26 21:07:46Report

  Descrizione

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

• 
  PALYGAP on 2018-03-25 22:37:30Report

  List of criteria (60)

  Nome, 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 on 2018-03-25 22:25:54Report

  Estratto

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

  Viewer

  public

• 
  PALYGAP on 2018-03-25 22:24:05Report

  List of criteria (59)

  Nome, 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 on 2018-03-25 22:14:36Report

  List of items (5)

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

  List of criteria (60)

  Nome, 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