Neural networks are trained using gradient descent where the estimate of the error used to update the weights is calculated…

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## How to Accelerate Learning of Deep Neural Networks With Batch Normalization

Batch normalization is a technique designed to automatically standardize the inputs to a layer in a deep learning neural network.…

Continue Reading## Accelerate the Training of Deep Neural Networks with Batch Normalization

Training deep neural networks with tens of layers is challenging as they can be sensitive to the initial random weights…

Continue Reading## Understanding the 3 Primary Types of Gradient Descent

Mini Batch Gradient Descent is commonly used for deep learning problems.ConclusionThis article should give you the basic motivation for the…

Continue Reading## How Much Does Training Scales?

In practice, data scientists tend to play with different batch sizes and see what works but those methods often result…

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