This is an updated version of our CVPR 2020 tutorial
(https://www.youtube.com/watch?v=LCTYRqW-ne8).
Much have changed in a year!

For more details, visit https://www.neuralrender.com/

Introduction
0:00:00 Intro & Fundamentals
Generative Adversarial Networks…

Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov - IvanReznikov/mdx-msc-data-science

Contribute to IvanReznikov/ds4ls-public development by creating an account on GitHub.

The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.

Translations: Chinese (Simplified), French, Japanese, Korean, Persian, Russian, Turkish, Uzbek

Watch: MIT’s Deep Learning State of the Art lecture referencing this post

May 25th update: New graphics (RNN animation, word embedding graph), color coding, elaborated…

This time, WRNs (Wide Residual Networks) is presented. By widening Residual Network (ResNet), the network can be shallower with the same…

This blog post is my attempt to demystify the probabilistic view of meta-learning and answer these key questions: Why is the deterministic view of meta-learning not sufficient? What is the variational inference? How can we design neural-based Bayesian…

These lectures are from material taught as a second graduate course in Optimization, at The University of Texas at Austin, in Spring 2020. The first half of the course was recorded in the LAITS studio as part of an online MS program in Computer Science. The…

Why we need causality in Machine Learning (From a business perspective)

A quick guide to understanding Gaussian process regression (GPR) and using scikit-learn’s GPR package

Introduction

Question: I recently came across log softmax for loss calculation. Does it matter and Which one should I choose ?Answer: Log Softmax is advantageous over softmax for numerical stability, optimisati…