ResNet

Vanishing Gradient Problem

Causes of the Vanishing Gradient Problem The Vanishing Gradient Problem represents one of the fundamental challenges in training deep neural networks. It manifests when, during backpropagation, the gradients computed in the initial layers of the network become very small, making the weight updates ineffective and compromising the learning ability of the model. This problem was […]

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An introduction to ResNet

Introduction Convolutional Neural Networks (CNNs) have transformed the field of computer vision, making it possible to successfully tackle complex tasks of image processing and interpretation. Among the most significant architectures, ResNet (Residual Network) stands out for its ability to efficiently manage deep networks. Introduced by Kaiming He in 2015, ResNet has had a remarkable impact

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