Building an Image Classifier with the OneFlow Deep Learning Framework

OneFlow is a deep learning framework engineered for large-scale distributed training. It employs a static computation graph and provides efficient automatic differentiation. A core principle of OneFlow is "write once, run anywhere," enabling model code to execute seamlessly across different hardware and distributed setups without modi ...

Posted on Tue, 07 Jul 2026 17:41:43 +0000 by kalebaustin

Fine-Tuning ResNet for Hotdog Image Classification Using Transfer Learning

Steps Below we introduce fine‑tuning, a common technique in transfer learning. As illustrated in the following diagram, fine‑tuning consists of four steps. Pre‑train a neural network model (the source model) on a source dataset, e.g., ImageNet. Create a new neural network (the target model). It replicates all model design and parameters from t ...

Posted on Fri, 12 Jun 2026 17:03:14 +0000 by aniket_dj

Surface Crack Detection with CNN on Kaggle

1. Dataset Acquisition Concrete surface cracks are a primary defect in civil structures. Building inspection is performed to evaluate stiffness and tensile strangth. Crack detection plays a vital role in building health assessment. The dataset contains images of various concrete surfaces with and without cracks. The image data is divided into t ...

Posted on Thu, 11 Jun 2026 17:53:30 +0000 by Jedi Legend

Implementing ResNet50 for Image Classification on CIFAR-10 with MindSpore

Image classification, a fundamental computer vision task, falls under supervised learning. Given an image, the goal is to predict its category. This article demonstrates how too use a ResNet50 network to classify the CIFAR-10 dataset using the MindSpore framework. ResNet Architecture ResNet50, introduced by Kaiming He et al. in 2015, won the IL ...

Posted on Tue, 26 May 2026 17:23:47 +0000 by tempi

Building a Deepfake Image Detector with EfficientNet and PyTorch

Detecting manipulated media generated by deeppfake algorithms is a pressing challenge. This article presents an end-to-end pipeline for training a binary image classifier that distinguishes real faces from synthetically generaetd ones using EfficientNet, PyTorch, and the timm library. Task Overview and Data Format The objective is to assign a p ...

Posted on Fri, 15 May 2026 11:38:16 +0000 by MattAdamson

Cat vs Dog Recognition with LeNet and PyTorch

01 Cat vs Dog Recognition Introduction: Manually building LeNet for cat vs dog recognition. Reference: https://mtyjkh.blog.csdn.net/article/details/121263237 Code: 01-cat-dog (github.com) Note: Beginners are advised to practice typing all the code, as it serves as a template. Regardless, you should be able to type it fluently (know the steps, t ...

Posted on Thu, 07 May 2026 14:18:47 +0000 by vbracknell