August 2019
Intermediate to advanced
202 pages
5h 9m
English
Content preview from What's New in TensorFlow 2.0
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Batching
Gradient descent combined with backpropagation is the most popular learning algorithm in recent machine learning or deep neural network systems. There are three kinds of gradient descent:
- Batch gradient descent, where all the data is presented to a model to learn from
- Mini-batch gradient descent, where a batch of data is presented to a model to learn from
- Stochastic gradient descent, where randomly sampled data is presented to train a model
Here, batch gradient descent is not practical in the majority of cases due to hardware memory limitations for large datasets. Also, stochastic gradient descent could be slow since a model learns from one piece of data at a time. Due to these reasons, mini-batch gradient descent is the most widely ...
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