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carpentries-incubator / intro-image-classification-cnn

new lesson on image classification with convolutional neural networks
https://carpentries-incubator.github.io/intro-image-classification-cnn/
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Content - Training output #2

Closed erinmgraham closed 1 year ago

erinmgraham commented 1 year ago

Need to talk about the output that is automatically displayed when fitting a model, eg:

Epoch 1/10

1563/1563 [==============================] - 5s 3ms/step - loss: 1.4011 - accuracy: 0.5046 - val_loss: 1.3644 - val_accuracy: 0.5243

Content could go in the intro ep at step 6 or build ep, both are getting lengthy

isaac-jennings commented 1 year ago

Hi @erinmgraham, I have added some info to ep 01 explaining epoch, loss, accuracy, val_loss and val_accuracy, but agree both options are lengthy as is. Formatted with a drop down to try save on space. What do you think?

isaac-jennings commented 1 year ago

Rendering the drop down didn't look like it would align with the design handbook. Have changed to callout for now.

erinmgraham commented 1 year ago

Sorry Isaac, I didn't get a chance to look at your drop downs before you rolled back your changes. What tag did you use to create them? I found something in the sandpaper docs about spoilers: https://carpentries.github.io/sandpaper-docs/episodes.html#use-spoilers-instead-of-floating-solution-blocks

erinmgraham commented 1 year ago

Returned IJ content to as is (without spoiler, callout or other). Important enough topic to make proper content.