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- A Gentle Introduction to Mini-Batch Gradient Descent and How to Configure Batch Size
- by Jason Brownlee on July 21, 2017 in Deep Learning
- Stochastic gradient descent is the dominant method used to train deep learning models.
- There are three main variants of gradient descent and it can be confusing which one to use.
- In this post, you will discover the one type of gradient descent you should use in general and how to configure it.
- After completing this post, you will know:
- What gradient descent is and how it works from a high level.
- What batch, stochastic, and mini-batch gradient descent are and the benefits and limitations of each method.
- That mini-batch gradient descent is the go-to method and how to configure it on your applications.
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