gradient-descent Examples and Free Source Code

How backpropagation through gradient descent represents the error after each forward pass...

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Gradient Descent For Mutivariate Linear Regression...

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Gradient function on a matrix in Octave/MatLab...

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The Gradient descent different between in Ng coursera and Michael A. Nielsen book...

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Neural network not producing results...

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Clarification in the Theano tutorial...

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Gradient descent implementation - absolute error issue...

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Neural net termination rule...

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Decrement learning rate in error back propagation algorithm...

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How to alternate train op's in tensorflow?...

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What is wrong with a gradient for logistic regression?...

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TensorFlow : optimizer gives nan as ouput...

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how to adjust the weights in gradient descent...

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ValueError: No variables to optimize...

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MLE Log-likelihood for logistic regression gives divide by zero error...

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What is `weight_decay` meta parameter in Caffe?...

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Difference between GradientDescentOptimizer and AdamOptimizer in tensorflow?...

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Understanding code wrt Logistic Regression using gradient descent...

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Linear regression gradient descent algorithms in R produce varying results...

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Gradient descent algorithm error non-comformable arguments...

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why gradient descent when we can solve linear regression analytically...

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SGD optimization in Keras does not move perpendicular to level curves?...

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TensorFlow: Where is the actual implementation of RMSprop?...

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What is the purpose of adding an expcost to stochastic gradient descent...

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When we do supervised classification with NN, why do we train for cross-entropy and not for classifi...

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Gradient Descent in python implementation issue...

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How to check if gradient descent with multiple variables converged correctly?...

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Creating new layer in Caffe...

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`warm_start` Parameter And Its Impact On Computational Time...

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What are differences between 1) training a CNN from whole training set and 2) training from a subset...

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