Truong Nhat Nguyen

Truong Nhat Nguyen

Machine Learning Engineer

Posts by Tags

algorithms

Understanding Gradient Descent: An Essential Optimization Algorithm

2 minute read

Published:

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.

category1

Future Blog Post

less than 1 minute read

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Blog Post number 4

less than 1 minute read

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.

Blog Post number 3

less than 1 minute read

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.

category2

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

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.

Blog Post number 3

less than 1 minute read

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.

cool posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

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.

Blog Post number 3

less than 1 minute read

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.

deep learning

Understanding ResNet50: A Deep Dive with PyTorch

3 minute read

Published:

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.

machine learning

Understanding ResNet50: A Deep Dive with PyTorch

3 minute read

Published:

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

2 minute read

Published:

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.

optimization

Understanding Gradient Descent: An Essential Optimization Algorithm

2 minute read

Published:

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.

pytorch

Understanding ResNet50: A Deep Dive with PyTorch

3 minute read

Published:

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.

resnet50

Understanding ResNet50: A Deep Dive with PyTorch

3 minute read

Published:

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.