Diving into Transformer : Attention Is All You Need!Transformer is a deep neural network architecture that introduced in “attention is all you need”. It is designed for sequence to sequence tasks. Particularly, excelling in natural language processing (NLP). It eliminates RNN and CNN in favor of self ...Mar 10, 2025·6 min read
Exploring Residual Networks (ResNet): A Breakthrough in Deep LearningOverview The paper “Deep Residual Network for Image Recognition”, authored by aiming He, Xiangyu Zhang, and others in 2015, introduce new CNN-based architecture known as ResNet This paper became one of the breakthrough in the development of deep lear...Dec 18, 2024·4 min read
Intel Images Classification Using VGG-19Intel image classification is a dataset consist of multiple scene. This dataset have 25,000 images with size 150 × 150 that are labeled for 6 difference categories like buildings, forest, glacier, mountain, sea, and street. The dataset split into 14,...Dec 8, 2024·5 min read
Understanding VGG Models: A Breakthrough in Deep LearningThe Visual Geometry Group (VGG), led by Karen Simoyan & Andrew Zisserman, introduced the groundbreaking concept of very deep convolutional network for large scale image recognition in 2014. This work invetigated how increasing the depth of convolutio...Dec 2, 2024·2 min read
Build and Understand LeNet 5 Architecture Using TensorFlowMachine learning algorithm especially in computer vision is rapidly developed. In order to achieve the rapidly algorithm development we must learn continuously from the basic. One of the basic is the development by Yann Lecun is LeNet. We will try to...Nov 30, 2024·10 min read
Understanding the 6 Levels of Autonomous Vehicle AutomationAutonomous vehicle (AV) become one of the most talked-about topics in recent years, drawing significant attention from both the public and the experts alike. AV technology offers the potential to revolutionized public transportation for elimination o...Nov 29, 2024·4 min read