16. januari 2019 - 19:20
Dela med dig på:

LIVESTREAM: Improve CNN Object Localization with Bayesian Optimization | LIVESTREAM | onsdag, 16. januari 2019

Amgad Muhammads has a professional altitude grounded in the cross-cutting knowledge
and practice of both data science and engineering. Amgad helped teams to implement and deliver different AI systems utilizing stat-of-the-art deep learning architectures in different disciplines including computer vision and NLP.

Currently, Amgad works as Senior Data Engineer at Think Big Analytics where he introduced novel methods for fighting financial fraud utilizing state-of-the-art deep learning architectures. Moreover, his methods that are applied in one of the most trusted banks in the Nordics yield impressive results, compared to traditional machine learning algorithms.

This speech will be valuable for those who are interested in Data Science, or who would like to get inspired for their daily data science work.

What will Amgad talk about? Here is a plan:

A short introduction of what if CNN Object Localization

How to use Bayesian to optimize a model

Tips from a real project.

Register to watch a talk Improve CNN Object Localization Use Bayesian Optimization on Events Terminal and enjoy the talk wherever you’re!
Not sure about your availability this time? No worries, you can register and watch a video after a live session.This event was streamed on Events Terminal website. Please follow a link to watch it after receiving a confirmation email: https://eventsterminal.com/event/improve-cnn-object-localization-with-bayesian-optimization