Truong Nhat Nguyen
Machine Learning Engineer
- Ho Chi Minh City, Vietnam
- Github
- Google Scholar
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Understanding ResNet50: A Deep Dive with PyTorch
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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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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.
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Blog Post number 3
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