roadmap robots stanford paper
Edge AI

Home Robots: The Stanford Roadmap Paper

Stanford University researchers, along with industry experts, delve into the evolving landscape of AI and home robotics.
alexnet
Deep Learning

AlexNet: A Revolutionary Deep Learning Architecture

AlexNet is a Image Classification model released in 2012 and the first model to use CNN based Deep Neural Network.
small object detection with lightweight yolo model
Computer Vision

Best Lightweight Computer Vision Models

We introduce the best lightweight computer vision models for fast production, accurate detection, and ease of use.
tissue segmentation with UNet
Deep Learning

U-Net: A Comprehensive Guide to Its Architecture and Applications

U-Net is an image segmentation model that features a U-shaped architecture, comprising two main parts: an encoder and decoder.
retinanet
Deep Learning

RetinaNet: Single-Stage Object Detector with Accuracy Focus

RetinaNet is a single-stage object detector that uses Focal Loss and two task-specific sub-networks for object detection.
decision tree
Deep Learning

What is a Decision Tree?

Explore the decision tree algorithm and enhance your Python skills with step-by-step instructions in this comprehensive guide.
action localization
Computer Vision

Object Localization and Image Localization

Object and image localization in computer vision: enabling machines to detect and accurately pinpoint objects in images.
data drift vs concept drift
Deep Learning

Concept Drift vs Data Drift: How AI Can Beat the Change

Model drift can degrade a model's performance. Learn about the differences between concept drift vs data drift and mitigation strategies.
gradient descent
Computer Vision

Gradient Descent in Computer Vision

Gradient descent is based on a gradual, iterative approach to solving the problem of a function's minimization.
knowledge graphs with ML
Deep Learning

Building Knowledge Graphs With ML: A Technical Guide

Knowledge Graph is a knowledge base that uses graph data structure to store and operate on the data. It powers applications such as Google
mlflow
Deep Learning

MLflow: Simplifying Machine Learning Experimentation

MLflow is an open-source platform that helps streamline the ML process and helps solve incurred challenges with model experimentation.
kaggle
Deep Learning

Getting Started With Kaggle – A Comprehensive Guide

Learn the ins and outs of Kaggle, including finding useful datasets for ML projects and partaking in competitions.
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