An Interview with Prof. Karl Friston
Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM).…
Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM).…
What is this post about? In this super gentle 101 talk given at the Insight Centre for Data Analytics at University College Dublin , I…
What is this post about? The training process of deep Artificial Neural Networks (ANNs) is based on the backpropagation algorithm. Starting with this post, and…
What is this post about? This is what you will be able to generate and understand by the end of this post. This is the…
We never Had Truly Understood the Bias-Variance Trade-off!!! In this interview with Prof. Mikhail Belkin, we will discuss his amazing paper: “Reconciling modern machine learning…
What is This post about? The interview with the lead author of the paper: Prof. Mikhail Belkin Together we will analyze an amazing paper entitled:…
“There are a lot more papers written than there are widely read!” (Tom Mitchell) Prof. Tom Mitchell is one of the giants of machine learning…
What will you learn? The video below, delivers the main points of this blog post on Stochastic Gradient Descent (SGD): (GitHub code available in here) …
What will you learn? This post is also available to you in this video, should you be interested 😉 https://www.youtube.com/watch?v=znqbtL0fRA0&feature=youtu.be In our previous post, we…
What Will You Learn? In our previous post, we have talked about the meaning of gradient descent and how it can help us update the…