[SOLVED] DeepLearning HW2

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  1. Your task is to find a linear approximation of the function 1 + x, x ∈ [0,1]. Your homework should contain the following steps:
  2. Generate N = 10000 random numbers from [0,1]:

x1,x2,…,xN ∈ [0,1],

and then obtain their labels: yi =             1 + xi, i = 1,2,…,N.

  1. Do linear regression on your generated data using stochastic gradient descent (implement yourself).
  2. Do linear regression on your generated data using mini-batch gradient descent (implement yourself). d*) Do linear regression on your generated data using tensorflow.
  3. Sketch the graphs of all approximations on one graph.
  4. Compare all solutions with the first degree Taylor approximation of√

the function      1 + x.

2*. Pass the following tutorial.

  • HW2-btfhi4.zip