Until Done

Archive (119)

The Magic of Softmax and Attention Mechanisms in Neural Machine Translation

Jul 4, 2023 ·  KT

Exploring the Attention Mechanism in "Neural Machine Translation by Jointly Learning to Align and Translate"

Jul 3, 2023 ·  KT

Beam Search in Recurrent Neural Networks (RNNs)

Jul 2, 2023 ·  KT

How Word Vectors Align with Softmax and Negative Sampling Parameters in Word2Vec

Jun 29, 2023 ·  KT

Words in Space: An Overview of Word Embeddings

Jun 11, 2023 ·  KT

Demystifying LSTM: The Supercharged Version of Recurrent Neural Networks

Jun 9, 2023 ·  KT

Unraveling the Uni-Lateral Recurrent Neural Network (RNN) and Its Distinctions from Standard Neural Networks

Jun 8, 2023 ·  KT

The Future of Identification: Face Recognition in Machine Learning

Jun 7, 2023 ·  KT

Unraveling Correlation in Feature Maps: The Core of Neural Style Transfer

Jun 6, 2023 ·  KT

Efficient Dependency Management in Docker with Poetry

Jun 5, 2023 ·  KT

Neural Style Transfer and Its Cost Function

Jun 4, 2023 ·  KT

Understanding He Initialization in Deep Learning

Jun 3, 2023 ·  KT

Anchor Boxes & Non-Max Suppression: Perfecting Object Detection

Jun 2, 2023 ·  KT

Demystifying Vector Databases: The Core of Personalised Large Language Models

Jun 1, 2023 ·  KT

A Dive Into Algorithms and Services for Object Detection and Recognition

May 31, 2023 ·  KT

Convolutional Implementation of Sliding Windows: Revolutionizing Object Detection

May 30, 2023 ·  KT

Choosing the Right Number of Units and Hidden Layers for your Deep Neural Network

May 29, 2023 ·  KT

Understanding Residual Networks: The Power of Dual-Path Gradients

May 28, 2023 ·  KT

Understanding ResNets: How Residual Connections Improve Backpropagation

May 27, 2023 ·  KT

Understanding Diversity in Deep Neural Networks and Model Selection

May 26, 2023 ·  KT

Deep Dive into Categorical Features in DNN Regression: A BigQuery ML Perspective

May 25, 2023 ·  KT

The Magic of Max Pooling in Convolutional Neural Networks and the Efficiency of CNNs over DNNs

May 24, 2023 ·  KT

The Balancing Act: Evaluating the Pros and Cons of Using Many Units and Layers in Neural Networks

May 23, 2023 ·  KT

Demystifying Google Cloud AutoML Tables: Model Selection and Tuning for Regression Tasks

May 22, 2023 ·  KT

Residual prediction models of a gradient boosting tree algorithm

May 21, 2023 ·  KT