Batch Normalization | Best Artificial Intelligence Course Tutorial For Beginners | @henryharvin

Batch Normalization | Best Artificial Intelligence Course Tutorial For Beginners | Henry Harvin

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This Henry Harvin video on “Batch Normalization” is a complete Batch Normalization tutorial for beginners who want to learn Batch Normalization. Batch normalization is a technique for training very deep neural networks that standardizes the inputs to a layer for each mini-batch. This has the effect of stabilizing the learning process and dramatically reducing the number of training epochs required to train deep networks. It's called “batch” normalization because, during training, we normalize each layer's inputs by using the mean and variance of the values in the current mini-batch (usually zero mean and unit variance).
So, if you want to learn Batch Normalization go with Henry Harvin.

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