File:Keras model inner32 epochs500.svg
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Summary
[edit]Plot of output for simple Keras XOR model with two input nodes, 32 hidden nodes and one output node. Trained for 500 epochs with relu activation functions in hidden layer and a sigmoid activation function in the output layer. The red dots are the input points for the model, the black lines are the classification boundaries for activation functions in the hidden layer. The contourplot shows the model output for the rasterized input data.
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 08:51, 29 September 2018 | ![]() | 575 × 431 (934 KB) | Demon667 (talk | contribs) | Plot of output for simple Keras XOR model with two input nodes, 32 hidden nodes and one output node. Trained for 500 epochs with relu activation functions in hidden layer and a sigmoid activation function in the output layer. The red dots are the input points for the model, the black lines are the classification boundaries for activation functions in the hidden layer. The contourplot shows the model output for the rasterized input data. |
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Height | 345pt |