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Solving XOR gate problem— using just NumPy, then compare with PyTorch implementation.Outline・Introduction to the XOR Gate Problem・Constructing a 2-Layer Neural Network・Forward Propagation・Chain Rules for Backpropagation・Implementation with NumPy・Comparing Results with PyTorch・Summary・ReferencesIntroduction to the XOR Gate...

While other forms of AI, comparable to large language models, are trained on huge repositories of information scraped from the web, the identical can’t be done with robots, because the info must be...

Welcome to the rollercoaster of ML optimization! This post will take you thru my process for optimizing any ML system for lightning-fast training and inference in 4 easy steps.Imagine this: You finally get placed...

Now we've gained some basic understanding of what a neural network is, the way it functions, and what hyperparameters are involved in tunning, we will bring up the concept of deep learning.So, what exactly...

Creator’s Note: This was a review written by the creator and posted on the Translating Nerd blog from 2017. The recent emergence of generative AI, specifically large language models (LLM) makes basic NLP knowledge...

Querying an entire tableWe are able to dive right into it by the classic SELECT ALL from a table.Here’s the SQL:SELECT * FROM dfAnd here’s the pandasdfAnd there we've got it! All of...

What's an Embedding?Embedding (also called Vector Embeddings) is a series of vectors providing a mathematical representation of words or sentences. The vectors capture the semantic meaning and context of the words or phrases.The advantage...

Using the Moving Average Testing Ground TechniqueMoving averages may also have many trading techniques applied on them so as to generate directional signals. This text discusses a method called the testing ground which relies...