Bias-Variance Tradeoff
In the realm of machine learning, understanding the bias-variance tradeoff is essential for building robust models. This concept helps us navigate the balance between model complexity and prediction a...
How Deep Learning is Revolutionizing Natural Language Processing (NLP)
Natural Language Processing (NLP) is an integral part of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language. Over the past decade, de...
LLM Inference GPU Video RAM Calculator
The LLM Memory Calculator is a tool designed to estimate the GPU memory needed for deploying large language models by using simple inputs such as the number of model parameters and the selected precis...
Building and Deploying an MNIST Digit Recognition App with PyTorch and Streamlit
Handwritten digit recognition is a classic machine learning problem, and in this tutorial, I will talk about how I built a simple yet powerful app to solve it. Using PyTorch for the model and...
Hyperparameter Optimization Across Frameworks Made Simple - Neural DSL v0.2.3
Hey Dev.to community!
I’m excited to share the latest update to Neural DSL, a work-in-progress domain-specific language for defining, training, and debugging neural networks. With v0.2.3 (released ...
Swine Transformers
1.Hierarchical Transformer means is a variation of the Transformer model that processes data in a structured, multi-level way, unlike standard Transformers that treat input as a flat sequence.Swin is ...
Geometric Deep Learning: Unlocking the Power of Structured and Non-Euclidean Data - By Alex Nguyen
Geometric deep learning is a cutting-edge field that extends the capabilities of traditional neural networks to handle data that is not only structured but also resides in non-Euclidean spaces.This re...
An open-source library about Implicit Deep Learning
I want to share a package library for implicit deep learning. Check out our repo here: https://github.com/HoangP8/torchidlInstalling and using it is super easy. Give it a try and see if it can help im...
Hypothesis Testing
Hypothesis testing is a statistical method that compares two opposing statements about a population and uses sample data to determine which is more likely to be true. This process allows us to analyze...
Unlocking AI Potential with Gemma 3: A Comprehensive Guide for Developers, Businesses, and Innovators
Image: Courtesy of Google AI.Introduction:
Google's Gemma 3 marks a significant leap in open-source large language models (LLMs), designed for high performance with minimal hardware requirements. Buil...