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Historique de DEEP COGNITION - Deep Learning Studio
Mis à jour 2018-04-04 10:22:42 
Date de création 2018-03-25 22:14:35
Date de création 2018-03-25 22:14:35 - Development Activity
- Important (2 enhanced versions have been release recently)
Posté 2018-04-04 10:22:42 par PALYGAP- Live performance monitoring
- yes
- Results browser
- yes
- View Valid/test set inference
- yes
- Confusion matrix
- no
- Visualize intermediate layer activation
- yes
- User test int
- yes
- - Cloud
- yes
- but no computing environnement"
- yes
- - Cloud Trial period
- yes
- AutoML
- yes
- Browser
- yes
- Python shell
- yes
- - Desktop
- yes (any platform with python)
Posté 2018-04-03 21:26:56 par PALYGAP- Custom cost function
- yes
- Load Keras Models + Weights
- yes
- Load Caffe Models + Weights
- no
- Model checker
- yes
- Experiments Mangement
- yes
- - Exp comparison
- yes
Posté 2018-04-03 21:22:04 par PALYGAP- - LSTM
- yes
- - MLP / Auto-encoders
- yes
- - RNN
- yes
- Use Keras API
- yes
- Save Keras HDFS file (.h5)
- yes
- Save Keras model .yaml file
- no
- Save Keras model file
- no
- Load Keras model .yaml file
- yes
- Load Keras HDFS file (.h5)
- yes
- Code generation
- no
- - Theano
- no
- - Tensorflow/Keras
- no
- - Caffe (v1)
- no
Posté 2018-04-03 21:20:52 par PALYGAP- Posté 2018-03-30 05:31:33 par PALYGAP
- Mode
- 70
- Nom
- Deep Learning Studio
- Visibilité
- public
- Editeur
- palygap-1q7klct2
- Version of the software
- 2.0
- Underlaying Framework
- Apache MXNet
- Development Activity
- "Important
- (2 enhanced versions have been release recently)"
- unknown
- GPUs
- CUDA compatible
- DL MODEL EDITOR
- Yes
- Changing the model is possible by editing the network graph"
- DLS Better
- - CNN
- yes
- - LSTM
- Yes
- - MLP / Auto-encoders
- Yes
- - RNN
- Yes
- Pretained Networks
- yes (Resnet50, InceptionV3, SqueezeNet, VGG16, VGG19, WideResNet)
- Use Keras API
- Yes
- Save Keras HDFS file (.h5)
- Yes
- Save Keras model .yaml file
- No
- Save Keras model file
- No
- Load Keras model .yaml file
- Yes
- Load Keras HDFS file (.h5)
- Yes
- Code generation
- No
- - Theano
- No
- - Tensorflow/Keras
- No
- - Caffe (v1)
- No
- Custom cost function
- Yes
- Load Keras Models + Weights
- Yes
- Load Caffe Models + Weights
- No
- Model checker
- Yes
- Datasets Management
- yes
- Experiments Mangement
- Yes
- - Exp comparison
- Yes
- - Prev. Exp loader
- Yes
- TRAINING
- yes
- Tune learning parameter
- Yes
- Live performance monitoring
- Yes
- Results browser
- Yes
- INFERENCE
- yes
- View Valid/test set inference
- Yes
- Confusion matrix
- No
- Visualize intermediate layer activation
- Yes
- User test int
- Yes
- DEPLOIEMENT
- yes
- - Rest API
- yes
- - Cloud
- Yes
- but no computing environnement"
- Yes
- - Cloud Trial period
- Yes
- - Desktop
- Yes (any platform with python)
- AutoML
- Yes
- Browser
- Yes
- Environment management
- yes
- Python shell
- Yes
- Jupyter notebook
- yes
- Documentation
- "Minimal
- (Keras API)"
- "Minimal
- (SONY Neural Network Library)"
- ???
- Tutorials
- yes
Posté 2018-03-25 22:14:36 par PALYGAP
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