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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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If you create a network of type SparkDl4jMultiLayer, if you want to perform a regression (single output neuron) you may encounter an IndexOutOfBounds exception when fitting the network.
If you fit t…
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Hi,
First off I do not know if this is the correct place to ask/report since I do not know if it's a bug or expected behavior. Please don't hesitate to close the issue if so.
I am using the Cora…
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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以下のようなコードを実行したところ、`predict`の出力が直感と合わない結果になりました。
```
require 'rumale'
require 'numo/narray'
require 'numo/gnuplot'
require 'numo/linalg/autoloader'
include Numo
x = DFloat[[1, 2, 3, 4, 5, …
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…