A model predicts house price as 𝑤⋅𝑥.True price = 300, input 𝑥=10, current weight w= 20.
with Loss:
and its Gradient :
Perform Manally one RMSProp update with learning rate 0.01.
RMSProp parameters:
β = 0.9 , s = 0.0 , ϵ = 10 − 8

Question

A model predicts house price as 𝑤⋅𝑥.True price = 300, input 𝑥=10, current weight w= 20. 
 with Loss:   
 and its Gradient :   
 Perform Manally one RMSProp update with learning rate 0.01. 
 RMSProp parameters: 
 β = 0.9 ,    s = 0.0 ,    ϵ = 10 − 8

Answer

after one RMSProp update, the new weight is 𝑤≈65.56

Answer

after one RMSProp update, the new weight is 𝑤≈20.03

Answer

after one RMSProp update, the new weight is 𝑤≈80.03

Answer

after one RMSProp update, the new weight is 𝑤≈00.03

Crowdly

A model predicts house price as 𝑤⋅𝑥.True price = 300, input 𝑥=10, current wei...

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