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Exploring Residual Networks (ResNet): A Breakthrough in Deep Learning

Dec 18, 20244 min read

Overview The paper “Deep Residual Network for Image Recognition”, authored by aiming He, Xiangyu Zhang, and others in 2015, introduce new CNN-based...

Exploring Residual Networks (ResNet): A Breakthrough in Deep Learning

Intel Images Classification Using VGG-19

Dec 8, 20245 min read

Intel image classification is a dataset consist of multiple scene. This dataset have 25,000 images with size 150 × 150 that are labeled for 6...

Intel Images Classification Using VGG-19

Understanding VGG Models: A Breakthrough in Deep Learning

Dec 2, 20242 min read

The Visual Geometry Group (VGG), led by Karen Simoyan & Andrew Zisserman, introduced the groundbreaking concept of very deep convolutional network for...

Understanding VGG Models: A Breakthrough in Deep Learning

Build and Understand LeNet 5 Architecture Using TensorFlow

Nov 30, 202410 min read

Machine learning algorithm especially in computer vision is rapidly developed. In order to achieve the rapidly algorithm development we must learn...

Build and Understand LeNet 5 Architecture Using TensorFlow