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    Tag: machinelearning

    The Future Performance Analysis and Training

    AI (Artificial Intelligence) is a branch of computer science that focuses on the development of intelligent machines that can perform tasks that typically require human…

    Ali Babar
    Ali Babar June 21, 2025
    1 Comment

    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).…

    Mehran Bezargani
    Mehran January 3, 2022
    1 Comment

    A Gentle 101 Talk on Artificial Neural Networks

    What is this post about? In this super gentle 101 talk given at the Insight Centre for Data Analytics at University College Dublin , I…

    Mehran Bezargani
    Mehran August 13, 2021
    0 Comments
    sigmoid and its derivative

    The Backpropagation Algorithm-PART(1): MLP and Sigmoid

    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…

    Mehran Bezargani
    Mehran June 25, 2021
    7 Comments

    Dissecting Relu: A desceptively simple activation function

    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…

    Mehran Bezargani
    Mehran June 1, 2021
    0 Comments

    An interview with Prof. Mikhail Belkin

    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…

    Mehran Bezargani
    Mehran May 29, 2021
    0 Comments

    Reconciling modern machine learning practice and the bias-variance trade-off

    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:…

    Mehran Bezargani
    Mehran April 12, 2021
    0 Comments

    An interview with Prof. Tom Mitchell

    “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…

    Mehran Bezargani
    Mehran March 14, 2021
    0 Comments

    Stochastic Approximation to Gradient Descent

    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) …

    Mehran Bezargani
    Mehran August 18, 2020
    0 Comments

    Back-propagation with Cross-Entropy and Softmax

    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…

    Mehran Bezargani
    Mehran May 20, 2020
    0 Comments
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