Bakary BadjieA Detailed Intuition Behind the Expectation-Maximization Algorithm with Relationships to Latent…In practical machine learning scenarios, it’s quite common to encounter numerous relevant features in the data, yet only a portion of them…Sep 15, 2023Sep 15, 2023
Bakary BadjieThe theoretical Intuition Behind the Expectation-Maximization (EM) Algorithm for Mixture of Experts…As we outlined the high-level intuition behind a mixture of experts framework in our Intuitions Behind Mixture of Experts Ensemble Learning…Sep 12, 2023Sep 12, 2023
Bakary BadjieUnderstanding the Intuition Behind BatchNormalization in CNNsBatch Normalization (BatchNorm) is a technique used in deep neural networks to improve training stability and speed up convergence. It was…Sep 6, 2023Sep 6, 2023
Bakary BadjieUnderstanding The Theorical Intuition of Deep Neural Networks with more emphasis on Convolutional…A deep neural network (DNN) is a type of artificial neural network (ANN) that consists of multiple layers of interconnected nodes (neurons)…Sep 5, 2023Sep 5, 2023
Bakary BadjieIntuitions Behind Mixture of Experts Ensemble LearningThe capacity of a neural network to absorb and process information is limited by the number of its parameters. Therefore, finding more…Sep 4, 2023Sep 4, 2023
Bakary BadjieThe Future of Autonomous Driving Systems with Edge ComputingThe future of autonomous cars with edge computing holds immense potential for revolutionizing the transportation industry. Autonomous…Sep 4, 2023Sep 4, 2023