A review of gradient descent optimization methods
Suppose we are going to optimize a parameterized function \(J(\theta)\), where \(\theta \in \mathbb{R}^d\), for example, \(\theta\) could be a neural net.html More specifically, we want to \(\mbox{ mi
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相關文章
- 1. An overview of gradient descent optimization algorithms
- 2. Shallow analysis of gradient descent optimization algorithms
- 3. An overview of gradient descent optimization algorithm
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- 6. Numerical Optimization---Nonlinear conjugate Gradient Methods
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- 9. Gradient Optimization
- 10. Deep learning II - II Optimization algorithms - Mini-batch gradient descent