[GitHub] [incubator-mxnet] mouryarishik commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that might be a good idea to break in 2.0)

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mouryarishik commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that might be a good idea to break in 2.0)
URL: https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-502638863
 
 
   - There should be the only gluon Sequential api which could be hybridizable instead of having 2 separate Sequential and HybridSequential apis. 
   
   - A fit method like api for gluon models would be a dream come true.
   For example:-
   ```
   model = nn.Sequential()
   ...
   ...
   ...
   model.initialize(mx.init.Xavier(), mx.gpu()) # initializing model as we do currently
   model.build(loss = 'cross entropy', optimizer = 'adam') # setting up loss and optimizer
   model.train(train_data, val_data, epochs = 10) # intiating the training loop
   
   # should print something like:-
   Epoch(01/10) [=========================>]
   Training    ->     Loss: 0.78415      Accuracy: 0.74588 
   Validation ->     Loss: 0.78415      Accuracy: 0.74588
   
   Epoch(02/10) [=========================>]
   Training    ->     Loss: 0.64415      Accuracy: 0.79588 
   Validation ->     Loss: 0.70405      Accuracy: 0.75588
   
   Epoch(01/10) [=========>                                        ]
   Training    ->     Loss: 0.58475      Accuracy: 0.82588 
   Validation ->     Loss: 0.68454      Accuracy: 0.79588
   ``` 
   
   - Computing higher order gradient is the only critically lacking feature of MXNet.
   - The official website for MXNet lags like hell. A better looking and good official website is must need. 
     There is a [beta version of the new version of MXNet website](https://beta.mxnet.io/).  
     But it's in beta from almost something like two years. What's taking so long!! Websites for other frameworks like Tensorflow, Pytorch are updated for more than like 5 times within just a year!!
   

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