Small changes to the getting started tutorial #1512
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The word "embarcation" is changed to "embarkation" to match data use.
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| @@ -481,7 +481,7 @@ | |||
| "cell_type": "markdown", | |||
| "metadata": {}, | |||
| "source": [ | |||
| "This leads us to the second type of attributions available in Captum, **Layer Attributions**. Layer attributions allow us to understand the importance of all the neurons in the output of a particular layer. For this example, we will be using Layer Conductance, one of the Layer Attribution methods in Captum, which is an extension of Integrated Gradients applied to hidden neurons. More information regarding conductance can be found in the original paper here: https://arxiv.org/abs/1805.12233. " | |||
| "This leads us to a second type of attribution available in Captum, **Layer Attributions**. Layer attributions allow us to understand the importance of all the neurons in the output of a particular layer. For this example, we will be using Layer Conductance, one of the Layer Attribution methods in Captum, which is an extension of Integrated Gradients applied to hidden neurons. More information regarding conductance can be found in the original paper here: https://arxiv.org/abs/1805.12233. " | |||
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nit: remove, plural to indicate Layer Attributions encompasses multiple attribution methods
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Changed.
What about using class and singular attribution:
the second class of attribution
| @@ -666,7 +666,7 @@ | |||
| "cell_type": "markdown", | |||
| "metadata": {}, | |||
| "source": [ | |||
| "To answer these questions, we can apply the third type of attributions available in Captum, **Neuron Attributions**. This allows us to understand what parts of the input contribute to activating a particular input neuron. For this example, we will apply Neuron Conductance, which divides the neuron's total conductance value into the contribution from each individual input feature." | |||
| "To answer these questions, we can apply a third type of attribution available in Captum, **Neuron Attributions**. This allows us to understand what parts of the input contribute to activating a particular input neuron. For this example, we will apply Neuron Conductance, which divides the neuron's total conductance value into the contribution from each individual input feature." | |||
There was a problem hiding this comment.
nit: remove, plural to indicate Neuron Attributions encompasses multiple attribution methods
There was a problem hiding this comment.
Changed.
What about using class and singular attribution:
the third class of attribution
The word "embarcation" is changed to "embarkation" to match data use.
The word "embarcation" is changed to "embarkation" to match data use.
The word "embarcation" is changed to "embarkation" to match data use.