In many machine learning problems, we do not have enough labeled data to train a deep neural network from scratch.…
ARTIFICIAL INTELLIGENCE (6) – Deep learning (4) Pooling In Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are a core technology in modern computer vision, enabling tasks such as image classification, object detection,…
ARTIFICIAL INTELLIGENCE (5) – Deep learning (3) Environments. Visual Studio Code and Jupyter Notebook; Language: python.
When building deep learning systems that move beyond toy datasets and into real-world workflow — from rapid experimentation to production-grade…
ARTIFICIAL INTELLIGENCE (4) – Deep learning (2) Building products powered by machine learning
By 2022, machine learning had become the backbone of a rapidly growing range of powerful products. Architectures such as transformers…
FreeCAD: An Open-Source Solution for Open BIM Workflows
FreeCAD is an Open BIM–oriented, open-source platform that provides advanced capabilities for managing, analysing, and validating construction projects through parametric…
ARTIFICIAL INTELLIGENCE (3) – Deep learning (1) Deep Learning Foundations: Understanding Automatic Differentiation in PyTorch from an AEC Perspective
Before working with deep learning models, we need to import the tools that will support numerical computation, optimization, and visualization.…
Debe estar conectado para enviar un comentario.