explain in details with an example the specify adjusting algorithm and explain with an example and explain in details with an example the rule for estimating training values and explain with an example and explain in details with an example the target function 5 set of training and explain with an example and explain in details with an example the determining the value for a board and explain with an example and explain in details with an example the well posed learning and explain with an example and explain in details with an example the summary of choices in designing with the diagram and explain in details with an example the performance system and the final design and explain with an exampl and explain in details with an example the algorithm that is incrementally refine the weight and explain with an example and explain in details with an example the adjusting the weights and explain with an example and explain in details with an example the estimating training values and explain with an example and explain in details with an example the choosing a function approximation and explain with an example and explain in detail with an example the choosing representation for the target function . 70marks

Note:Downvoted for chegg answers and no internet answers and no chegg answers and dnt copy from chegg r else i il downvote

Note:Its for 70 marks i need 12page answer and own answer no internet answer r else i will downvote

attempt only if you knownledge about the subject r else i il downvote and its for 70marks

NOTE:no wrong answer .i need own answer with diagram and all r else i il downvote.

note:if u dnt have knownledge dnt attempt r else i il downvote.

note:need own answer no internet r chegg answer r else i il downvote.

NO CHEGG ANSWERS

note:its there in chegg but its wrong answer i need own answer r else i il downvote

NO CHEGG ANSWERS

its there in chegg but its wrong answer dnt copy from chegg i need own answer r esle i il downvote.

dnt attempt if you cant answer all questions