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Python implementation of Gradient Descent Algorithm isn't working

score 277 · Answer 1 · 2015-06-10 01:34:43

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Python implementation of Gradient Descent Algorithm isn't working

277 views Asked by razalfuhl At 10 June 2015 at 01:34

score 437 · Answer 2 · 2015-06-10 21:41:32

Basic Machine Learning: Linear Regression and Gradient Descent

437 views Asked by anon_swe At 10 June 2015 at 21:41

score 1270 · Answer 3 · 2015-06-11 16:00:45

Theano stochastic gradient descent NaN output

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score 118 · Answer 4 · 2015-06-25 22:17:21

Comparing the accuracies of different numerical gradients?

118 views Asked by Hieu Pham At 25 June 2015 at 22:17

score 809 · Answer 5 · 2016-12-15 04:22:24

Gradient Descent on a logarithmic decline curve in Python

809 views Asked by Scott Rothbarth At 15 December 2016 at 04:22

score 757 · Answer 6 · 2016-12-19 09:31:06

Slow Adagrad Convergence

757 views Asked by Caleb Everett At 19 December 2016 at 09:31

score 1942 · Answer 7 · 2016-12-19 14:39:37

Does Stochastic Gradient Descent even work with TensorFlow?

1.9k views Asked by hallo02 At 19 December 2016 at 14:39

score 554 · Answer 8 · 2016-12-17 20:37:46

Implementing naive gradient descent in python

554 views Asked by Ahmad Abdelzaher At 17 December 2016 at 20:37

score 242 · Answer 9 · 2016-12-20 15:26:25

Increasing and wide spreading cost function with Stochastic Gradient Descent

242 views Asked by hallo02 At 20 December 2016 at 15:26

score 764 · Answer 10 · 2016-12-21 04:23:55

Wouldn't setting the first derivative of Cost function J to 0 gives the exact Theta values that minimize the cost?

764 views Asked by user7314729 At 21 December 2016 at 04:23

TechQA.

List Question

Python implementation of Gradient Descent Algorithm isn't working

Basic Machine Learning: Linear Regression and Gradient Descent

Theano stochastic gradient descent NaN output

Comparing the accuracies of different numerical gradients?

Gradient Descent on a logarithmic decline curve in Python

Slow Adagrad Convergence

Does Stochastic Gradient Descent even work with TensorFlow?

Implementing naive gradient descent in python

Increasing and wide spreading cost function with Stochastic Gradient Descent

Wouldn't setting the first derivative of Cost function J to 0 gives the exact Theta values that minimize the cost?

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