Sivylla Paraskevopoulou

Last seen: Today | Attivo dal 2017

Followers: 14 Following: 0

Programming Languages:
MATLAB
Spoken Languages:
English

Statistica

All

Visualizza badge

Feeds

Pubblicato

Transfer Learning for Grayscale Images
In computer vision, pretrained models are often used and adapted to the task at hand by performing transfer learning....

2 giorni fa

Pubblicato

Graph Neural Networks in MATLAB
Deep neural networks like convolutional neural networks (CNNs) and long-short term memory (LSTM) networks can be applied...

16 giorni fa

Pubblicato

AI with MATLAB: 3 things that happened in 2024
Today is the last day of 2024. Most of you are busy with non-AI, non-programming, non-thinking-about-work preparations for...

circa 2 mesi fa

Risposto
Gaussian Distribution
To learn more about normal or Gaussian distribution, read the topic Normal Distribution.

circa 2 mesi fa | 0

Risposto
How to remove column from matlab table?
Read the topic Add, Delete, and Rearrange Table Variables to learn more.

circa 2 mesi fa | 0

Pubblicato

NeurIPS 2024 Highlights
As NeurIPS 2024 comes to a close, I am thinking back to all the inspiring presentations and conversations with brilliant...

2 mesi fa

Pubblicato

How to Design Transformer Model for Time-Series Forecasting
In this previous blog post, we explored the key aspects and benefits of transformer models, described how you can use...

3 mesi fa

Pubblicato

Transformer Models: From Hype to Implementation
In the world of deep learning, transformer models have generated a significant amount of buzz. They have dramatically...

4 mesi fa

Pubblicato

Introducing the Reduced Order Modeler App: How to Interactively Create AI-Based Reduced Order Models (ROMs)
The following blog post is from Melda Ulusoy, Principal Product Marketing Manager at MathWorks, and Kishen Mahadevan,...

4 mesi fa

Pubblicato

MATLAB EXPO 2024: AI Innovation in Engineering Projects
MATLAB EXPO 2024 is back! Attend this online event that brings together engineers, scientists, and researchers from...

5 mesi fa

Pubblicato

Apply AI with New R2024b Examples
In my last post, I talked about new AI features introduced with MATLAB R2024b - the latest release, which is now available...

5 mesi fa

Pubblicato

R2024b: A Peek into New AI Features
MATLAB R2024b is the latest release and available for you to try. I am here to talk specifically about new AI features in...

5 mesi fa

Pubblicato

Embedded AI Integration with MATLAB and Simulink
Embedded AI, that is the integration of artificial intelligence and embedded systems, enables devices to process data and...

6 mesi fa

Pubblicato

Simulate PyTorch and Other Python-Based Models with Simulink Co-Execution Blocks
This blog post is from Maggie Oltarzewski, Product Marketing Engineer at MathWorks. In R2024a, four new blocks for...

6 mesi fa

Pubblicato

Automating Visual Inspection with AI and PLC
The following post is from Sagar Hukkire, application engineer for AI, and Conrado Ramirez Garcia, application engineer...

7 mesi fa

Pubblicato

Local LLMs with MATLAB
Local large language models (LLMs), such as llama, phi3, and mistral, are now available in the Large Language Models...

8 mesi fa

Pubblicato

Export Models from Machine Learning Apps to Simulink
In this blog post, I am going to show you the most interactive way to create a Simulink model that includes a machine...

8 mesi fa

Pubblicato

Explainability in Object Detection for MATLAB, TensorFlow, and PyTorch Models
In R2024a, Deep Learning Toolbox Verification Library introduced the d-rise function. D-RISE is an explainability tool...

9 mesi fa

Pubblicato

Building Confidence in AI with Constrained Deep Learning
Constrained deep learning is an advanced approach to training robust deep neural networks by incorporating constraints...

9 mesi fa

Pubblicato

Data Type Conversion Between MATLAB and Python: What’s New in R2024a
When combining MATLAB with Python® to create deep learning workflows, data type conversion between the two frameworks can...

9 mesi fa

Pubblicato

Verification and Validation for AI: From model implementation to requirements validation
The following post is from Lucas García, Product Manager for Deep Learning Toolbox. This is the fourth and final post...

10 mesi fa

Pubblicato

Convert Deep Learning Models between PyTorch, TensorFlow, and MATLAB
In this blog post we are going to show you how to use the newest MATLAB functions to: Import models from TensorFlow...

10 mesi fa

Pubblicato

Tips on Accelerating Deep Learning Training
Deep learning models are trained by using large sets of labeled data. Training a deep learning model can be...

11 mesi fa

Pubblicato

Deep Learning Toolbox R2024a: Major Update and New Examples
On March 20th, MATLAB R2024a was released with many updates for Deep Learning Toolbox. Exciting new features for deep...

11 mesi fa

Pubblicato

Incremental Learning: Adaptive and real-time machine learning
Incremental learning is a machine learning approach that addresses the challenge of adaptively fitting models to new...

12 mesi fa

Pubblicato

Data-Driven Control with MATLAB and Simulink
The following blog post is from Melda Ulusoy, Technical Marketing Manager at MathWorks. One of artificial intelligence...

12 mesi fa

Pubblicato

Verification and Validation for AI: Learning process verification
The following post is from Lucas García, Product Manager for Deep Learning Toolbox. This is the third post in a 4-post...

circa un anno fa