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Python implementation of Gradient Descent Algorithm isn't working

score 296 · Answer 1 · 2015-06-10 01:34:43

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Python implementation of Gradient Descent Algorithm isn't working

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

score 456 · Answer 2 · 2015-06-10 21:41:32

Basic Machine Learning: Linear Regression and Gradient Descent

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

score 1293 · Answer 3 · 2015-06-11 16:00:45

Theano stochastic gradient descent NaN output

1.2k views Asked by Isadora Nun At 11 June 2015 at 16:00

score 143 · Answer 4 · 2015-06-25 22:17:21

Comparing the accuracies of different numerical gradients?

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

score 836 · Answer 5 · 2016-12-15 04:22:24

Gradient Descent on a logarithmic decline curve in Python

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

score 775 · Answer 6 · 2016-12-19 09:31:06

Slow Adagrad Convergence

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

score 1977 · 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 574 · Answer 8 · 2016-12-17 20:37:46

Implementing naive gradient descent in python

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

score 265 · Answer 9 · 2016-12-20 15:26:25

Increasing and wide spreading cost function with Stochastic Gradient Descent

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

score 798 · 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?

798 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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