- Presentations
- Documents
- Infographics
Metropolis-Hastings MCMC Short Tutorial
Ralph Schlosser
•
7 years ago
Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
6 years ago
An introduction to bayesian statistics
John Tyndall
•
10 years ago
Hidden markov model ppt
Shivangi Saxena
•
9 years ago
Convolutional Features for Instance Search
Universitat Politècnica de Catalunya
•
7 years ago
AI&BigData Lab 2016. Александр Баев: Transfer learning - зачем, как и где.
GeeksLab Odessa
•
7 years ago
Introduction to deep learning in python and Matlab
Imry Kissos
•
7 years ago
Deep Learning for Computer Vision: Software Frameworks (UPC 2016)
Universitat Politècnica de Catalunya
•
7 years ago
How to Write A Research Paper? - Useful Tips For Successful Academic Writing
Alina Stepanova
•
7 years ago
Deep Learning for Computer Vision (2/4): Object Analytics @ laSalle 2016
Universitat Politècnica de Catalunya
•
7 years ago
Autoencoders for image_classification
Cenk Bircanoğlu
•
9 years ago
Reinforcement learning
Chandra Meena
•
9 years ago
Introduction to Bayesian Methods
Corey Chivers
•
11 years ago
Deep Learning - The Past, Present and Future of Artificial Intelligence
Lukas Masuch
•
8 years ago
Kato Mivule: An Overview of Adaptive Boosting – AdaBoost
Kato Mivule
•
10 years ago
Computer Vision Crash Course
Jia-Bin Huang
•
8 years ago