Sandaruwan HerathinData Science and Machine LearningMicrosoft Power BI Guide — Part 3(Preparing the Environment and Getting Started)Before diving into our Power BI project, it’s essential to set up the environment correctly to ensure consistency and avoid potential…Jun 7Jun 7
Sandaruwan HerathinData Science and Machine LearningMicrosoft Power BI Guide — Part 2(Getting Familiar with Power BI through a Mini Project)Before diving into complex projects, it’s crucial to become familiar with the Power BI interface and understand its core functionalities…Jun 7Jun 7
Sandaruwan HerathinData Science and Machine LearningMicrosoft Power BI Guide — Part 1Introduction to Power BIJun 7Jun 7
Sandaruwan HerathinData Science and Machine LearningThe decoder stack in the Transformer modelThe decoder stack in the Transformer model, much like its encoder counterpart, consists of several layers, each featuring three main…May 1May 1
Sandaruwan HerathinData Science and Machine LearningLung Localization with Pytorch LighniningOver the last decade, deep learning, particularly Convolutional Neural Networks (CNNs), has significantly advanced the field of medical…Apr 23Apr 23
Sandaruwan HerathinData Science and Machine LearningThe Feedforward Network (FFN) in The Transformer ModelThe Transformer model revolutionizes language processing with its unique architecture, which includes a crucial component known as the…Apr 194Apr 194
Sandaruwan HerathinData Science and Machine LearningPost-Layer NormalizationIn the intricate architecture of the Transformer, Post-Layer Normalization (Post-LN) plays a pivotal role in stabilizing the learning…Apr 18Apr 18
Sandaruwan HerathinData Science and Machine LearningExploring the Multi-head Attention Sublayer in the TransformerThe multi-head attention mechanism is a hallmark of the Transformer model’s innovative approach to handling sequential data. It enhances…Apr 18Apr 18
Sandaruwan HerathinData Science and Machine LearningPositional Encoding in the Transformer ModelThe positional encoding component of the Transformer model is vital as it adds information about the order of words in a sequence to the…Apr 17Apr 17
Sandaruwan HerathinData Science and Machine LearningInput Embedding Sublayer in the Transformer ModelThe input embedding sublayer is crucial in the Transformer architecture as it converts input tokens into vectors of a specified dimension…Apr 17Apr 17
