為什么一開始的eror大？

因為一開始的weight是random initialized啊

the line is good enough for

even though the error is not going to zero

the result corrolation is great

underlying structure of the problem

generate it

have a model that is reasonable

llm algorithm

understanding the line very well

trained line in black line

different approaches

similar

lls is doing thinking at one go

have a learning rate about all these things

increase learning rate

for example it is clear that what

put 100

we may not convert

we did a train model

5000

nice fit

batch algorithm

lms

總結

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