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Blog posts
2199
2023
Understanding ResNet50: A Deep Dive with PyTorch
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Introduction
In the realm of deep learning and computer vision, convolutional neural networks (CNNs) play a pivotal role in tasks such as image classification, object detection, and segmentation. Among these architectures, ResNet, short for Residual Network, has stood out for its remarkable performance and ability to train very deep networks.
Understanding Gradient Descent: An Essential Optimization Algorithm
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Introduction
In the realm of machine learning and optimization, gradient descent is a fundamental algorithm that lies at the heart of many models and techniques. It is a powerful optimization algorithm used to minimize the error or cost function of a model by iteratively updating its parameters based on the gradient of the cost function. In this blog post, we will explore the inner workings of gradient descent, its variants, and its significance in training machine learning models.
2015
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
2014
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.