Jan 21, 2025 · 21 min read · In my last three blog posts, we explained about how to reduce the wrong but high confidence of neural network, how to identify dead neurons, and The Kaiming initialization and batch normalization. The core of these three blog post is, the correct ini...
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Oct 30, 2024 · 3 min read · Neural networks are essential for many modern AI applications, from image recognition to natural language processing. Two fundamental processes that enable these networks to learn from data are Forward Propagation and Backpropagation. Let’s explore t...
Join discussionJan 10, 2024 · 3 min read · Introduction: In the intricate tapestry of deep learning, two essential processes govern the evolution of neural networks—Forward Propagation and Backward Propagation. These mechanisms, akin to the synapses firing in our brain, orchestrate the learni...
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Dec 28, 2023 · 4 min read · Introduction Forward propagation is a pivotal aspect of AI, encompassing the process through which data traverses various layers to produce an output. Despite its apparent simplicity, this is a fundamentally intricate procedure. At its core, forward ...
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