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Hyperparameters
A video discussing hyperparameters in deep learning, including learning rate and batch size.
What are hyperparameters?
As you may know if you’ve studied any machine learning techniques before, hyperparameters are the algorithm parameters that are set prior to training and do not change during the learning process.
Important hyperparameters that are commonly adjusted during training of deep learning models include:
- learning rate
- batch size.
We will talk more about adjustment of these hyperparameters in the video.
