Difference between revisions of "Gradient Descent Optimization & Challenges"
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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]] | + | [[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
Vanishing & Exploding Gradients Problems
Vanishing & Exploding Gradients Challenges with Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN)