Batch Normalization
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Discover the role of batch normalization in streamlining neural network training and improving model performance
13 min read -
How integrating BatchNorm in a standard Vision transformer architecture results in faster convergence for a…
16 min read -
How integrating Batch Normalization in an encoder-only Transformer architecture can lead to reduced training time…
28 min read -
Explore Batch Normalization, a cornerstone of neural networks, understand its mathematics and implement it from…
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Internal working and intuitions are explained through simple examples
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A neat trick to avoid expensive manual pixel normalization for Vision (Image/Video) AI models is…
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Memory-efficient convolutional neural network training
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Presently Deep Learning has been revolutionizing many subfields such as natural language processing, computer vision,…
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Usually, when I see BatchNorm and Dropout layers in a neural network, I don’t pay…
6 min read