keras lecture first build #196
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@jstac this is a really neat lecture.
I only have minor fixes / comments (see suggestions)
The loss figures look very similar upon casual inspection, however the y-axis scales are very different, perhaps you could have the same y-axis and plot the Epoch (x-axis) to 500 or so. Just a thought.
lectures/keras.md
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| The first implements linear regression. | ||
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| This is achieved by constructing a neural network with just one layer, that maps | ||
| to a single dimension (since the prediction |
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@jstac I merged the trivial comments. Not sure what you intended to be in the parenthesis to complete. If you |
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Thanks @mmcky , please make that small change above completing the sentence, make any improvements you like to the figures (or skip if you're busy) and then make it live. |
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thanks @jstac I will make that change and make this live. |
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