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Understanding Generative AI: Part Two - Neural Networks ยท Scorpil
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AI, ML, and Large Language Models | Jake Gordon
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| | Personal Website for Jake Gordon
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The Essential Guide to Neural Network Architectures
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| | Learn about the different types of neural network architectures.
| | www.analyticsvidhya.com
What is Recurrent Neural Networks (RNN)?
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| | Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.
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Rethinking Batch in BatchNorm :: Read. Hack. Learn. Repeat. - This blog features state of the art applications in machine learning with a lot of PyTorch samples and deep learning code. You will learn about neural network optimization and potential insights for artificial intelligence for example in the medical domain.
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| Today's paper: Rethinking 'Batch' in BatchNorm by Wu & Johnson BatchNorm is a critical building block in modern convolutional neural networks. Its unique property of operating on "batches" instead of individual samples introduces significantly different behaviors from most other operations in deep learning. As a result, it leads to many hidden caveats that can negatively impact model's performance in subtle ways. This is a citation from the paper's abstract and the emphasis is mine which caught my attention. Let's explore these subtle ways which can negatively impact your model's performance! The paper of Wu & Johnson can be found on arxiv.