Aidan ThompsonIn the world of machine learning, reinforcement learning (RL) stands out for its unique approach.Imagine a robot learning to navigate a maze. It starts with no knowledge, but by interacting with the environment (bumping into walls…Jun 26Jun 26
Aidan ThompsonActivation Functions in Neural NetworksSigmoid, tanh, Softmax, ReLU, Leaky ReLU EXPLAINED !!!Jun 20Jun 20
Aidan ThompsonOverview of Caching, Distributed Cache, Caching Patterns & TechniquesHi everyone, in this article we’ll understand what is Caching along with it’s benefits, what is Distributed cache and it’s advantages…Jun 3Jun 3
Aidan ThompsonReversing a Linked List: Easy as 1, 2, 3A common interview question asked at larger companies, reversing a linked list is a problem I’ve seen trip up a lot of engineers throughout…May 24May 24
Aidan ThompsonUnderstanding the Bias-Variance Tradeoff in Machine Learning: Examples and SolutionsIntroductionMay 19May 19
Aidan ThompsonUnderstanding Abstractions in Neural NetworksHow thinking machines implement one of the most important functions of cognitionMay 17May 17
Aidan ThompsonBatch Normalization with PyTorchOne of the key elements that is considered to be a good practice in neural network modeling is a technique called Batch Normalization…May 12May 12
Aidan ThompsonExplain like I’m five: Artificial neuronsWhat the heck are artificial neurons?May 11May 11