Wide Neural Networks For Image Classification in Ecommerce

Fabio CAPELA, Ph.D.,
Co-Founder & Head of Data Scientist at SamurAI - Data Science Services
SwissAI Machine Learning Meetup, 18.04.2018

Main Topics:
1. What are Convolutional Neural Network and Residual Neural Network?

2. How to Apply Wide residual Neural networks?

3. How to apply Neural networks to solve E-commerce​ Problems?

4. Lessons Learned Using Neural Networks in Kaggle Competition.

Deep residual networks are among the most widely used machine learning algorithms for image recognition. However, adding extra layers to improve the accuracy of the system turns out to be expensive in terms of training time. In this talk, we are going to explain what are ResNets and how to circumvent their slow training process by decreasing their depth and increasing their width. https://www.linkedin.com/in/fabio-capela-phd-3a19925b/

Main organizers:

Pawel Rosikiewicz (University of Lausanne)
https://www.linkedin.com/in/pawel-ros...

Prof Martin Jaggi (EPFL)
https://www.linkedin.com/in/martinjaggi/

Clement Charollais (EPFL)
Camera operator and editing​
https://www.linkedin.com/in/clément-c...

Juraj Korček
https://www.linkedin.com/in/korcekjuraj/

For more information and future events please see:
https://www.meetup.com/Lausanne-ML-TGIT/

Видео Wide Neural Networks For Image Classification in Ecommerce канала SwissAI