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clearer docs

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Mike J Innes 2018-06-26 16:07:58 +01:00
parent 88c16e62dd
commit bed6d2311e
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docs/src/models/basics.md
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@ -28,13 +28,15 @@ l = loss(x, y)
back!(l) back!(l)
``` ```
`loss(x, y)` returns the same number, but it's now a *tracked* value that records gradients as it goes along. Calling `back!` then calculates the gradient of `W` and `b`. We can see what this gradient is, and modify `W` to train the model. `loss(x, y)` returns the same number, but it's now a *tracked* value that records gradients as it goes along. Calling `back!` then accumulates the gradient of `W` and `b`. We can see what this gradient is, and modify `W` to train the model.
```julia ```julia
W.grad W.grad
# Update the parameter # Update the parameter
W.data .-= 0.1(W.grad) W.data .-= 0.1(W.grad)
# Reset the gradient
W.grad .= 0
loss(x, y) # ~ 2.5 loss(x, y) # ~ 2.5
``` ```