Difference between revisions of "Gradient Descent Optimization & Challenges"
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* [[Objective vs. Cost vs. Loss vs. Error Function]] | * [[Objective vs. Cost vs. Loss vs. Error Function]] | ||
* [[Topology and Weight Evolving Artificial Neural Network (TWEANN)]] | * [[Topology and Weight Evolving Artificial Neural Network (TWEANN)]] | ||
| − | * [[Other Challenges]] | + | * [[Other Challenges]] in Artificial Intelligence |
Revision as of 22:59, 16 February 2019
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- Gradient Boosting Algorithms
- Backpropagation
- Objective vs. Cost vs. Loss vs. Error Function
- Topology and Weight Evolving Artificial Neural Network (TWEANN)
- Other Challenges in Artificial Intelligence
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)
