Difference between revisions of "Gradient Descent Optimization & Challenges"

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(Vanishing & Exploding Gradients Challenges with Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM))
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== Vanishing & Exploding Gradients Challenges with Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN) ==
 
== Vanishing & Exploding Gradients Challenges with Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN) ==
[[http://www.youtube.com/results?search_query=Difficult+to+Train+an+RNN+LSTM+vanishing YouTube Search]]
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[[http://www.youtube.com/results?search_query=Difficult+to+Train+an+RNN+GRU+LSTM+vanishing YouTube Search]]
  
 
* [[Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Network (RNN)]]
 
* [[Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Network (RNN)]]
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Revision as of 09:35, 24 June 2018

Gradient Descent - Stochastic (SGD), Batch (BGD) & Mini-Batch

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Vanishing & Exploding Gradients Problems

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Vanishing & Exploding Gradients Challenges with Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN)

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